1 00:00:01,000 --> 00:00:03,440 Speaker 1: The stock is about a killing and about a really 2 00:00:03,560 --> 00:00:13,440 Speaker 1: terrible policy that causes great harm to people of color. 3 00:00:14,400 --> 00:00:15,520 Speaker 2: There Are No Girls on the Internet. 4 00:00:15,560 --> 00:00:22,920 Speaker 3: As a production of iHeartRadio and Unbossed Creative, I'm Bridge 5 00:00:23,000 --> 00:00:25,160 Speaker 3: Todd and this is there are No Girls on the Internet. 6 00:00:28,040 --> 00:00:30,600 Speaker 3: Do we want a world where a killer can walk free? 7 00:00:31,400 --> 00:00:34,840 Speaker 3: The Perfect Neighbor, now on Netflix, forces us to face 8 00:00:34,880 --> 00:00:38,600 Speaker 3: that question. The documentary tells the tragic story of a 9 00:00:38,760 --> 00:00:42,000 Speaker 3: j Owens and examines the legal and systemic failures that 10 00:00:42,159 --> 00:00:45,840 Speaker 3: almost allowed for her death to go unpunished. Journalists sold 11 00:00:45,880 --> 00:00:48,640 Speaker 3: At O'Brien has built her career on stories like this one, 12 00:00:48,960 --> 00:00:52,080 Speaker 3: stories that hit hard and stick with you, and this 13 00:00:52,120 --> 00:00:56,960 Speaker 3: project is exactly that. Executive produced by O'Brien with director 14 00:00:57,040 --> 00:01:01,320 Speaker 3: Gita Gondebier, The Perfect Neighbor dives into aj Owen's shocking 15 00:01:01,360 --> 00:01:05,560 Speaker 3: death and the systems that failed her. I am so 16 00:01:05,880 --> 00:01:08,280 Speaker 3: honored that you're here today, sold Ed. I'm such a 17 00:01:08,319 --> 00:01:10,640 Speaker 3: huge fan. If my parents were alive to see me 18 00:01:10,680 --> 00:01:13,080 Speaker 3: talking to you, and they would be so excited. 19 00:01:13,080 --> 00:01:15,600 Speaker 2: You have no idea. Thank you, Thank you. That's so sweet. 20 00:01:15,640 --> 00:01:16,480 Speaker 4: I appreciate that. 21 00:01:18,480 --> 00:01:21,759 Speaker 3: Now you may know Solodad O'Brien as an iconic journalist 22 00:01:21,800 --> 00:01:24,680 Speaker 3: who has earned multiple Emmys and Peabody Awards for her 23 00:01:24,720 --> 00:01:27,680 Speaker 3: coverage ranging from hur King Katrina to the BP oil spill. 24 00:01:28,080 --> 00:01:31,240 Speaker 3: But my earliest memory of her goes back even further 25 00:01:31,720 --> 00:01:34,360 Speaker 3: to a short lived, but way ahead of its time 26 00:01:34,520 --> 00:01:38,600 Speaker 3: tech news show about the emerging Internet revolution. It was 27 00:01:38,640 --> 00:01:42,000 Speaker 3: called The Site, and it aired on the early days 28 00:01:42,040 --> 00:01:45,200 Speaker 3: of MSNBC, a network I would later go on to 29 00:01:45,280 --> 00:01:50,200 Speaker 3: work for myself, in no small part inspired by Soldad O'Brien. Now, 30 00:01:50,200 --> 00:01:53,240 Speaker 3: if you didn't catch the show, it was truly something. 31 00:01:53,760 --> 00:01:58,200 Speaker 3: Soldad's co host was a virtual reality character named dev Nall, 32 00:01:58,760 --> 00:02:02,320 Speaker 3: voiced by real life tech journalist Leo Laporte, and they 33 00:02:02,360 --> 00:02:05,560 Speaker 3: would sit around in an animated espresso bar talking about 34 00:02:05,560 --> 00:02:08,480 Speaker 3: the Internet. Now, in case you can't tell, this was 35 00:02:08,520 --> 00:02:12,160 Speaker 3: the nineties, nineteen ninety six to the exact, long before 36 00:02:12,200 --> 00:02:14,600 Speaker 3: newsrooms were covering the Internet the way they do now. 37 00:02:15,280 --> 00:02:19,120 Speaker 3: Solodad became one of the earliest mainstream voices explaining this 38 00:02:19,240 --> 00:02:22,400 Speaker 3: new digital world just as it was also taking shape, 39 00:02:22,440 --> 00:02:25,480 Speaker 3: and for twelve year old Bridget just beginning to explore 40 00:02:25,560 --> 00:02:29,440 Speaker 3: the Internet, it was a very big deal. I was 41 00:02:29,440 --> 00:02:31,760 Speaker 3: talking to my producer as I was prepping for this, 42 00:02:31,800 --> 00:02:33,280 Speaker 3: and he was like, I don't know that I've ever 43 00:02:33,280 --> 00:02:35,440 Speaker 3: seen you nervous to speak to anybody before. 44 00:02:35,560 --> 00:02:36,240 Speaker 2: What's going on? 45 00:02:36,560 --> 00:02:39,760 Speaker 3: And I thought back, and I realized I had a 46 00:02:39,800 --> 00:02:42,920 Speaker 3: memory of watching one of your early shows with my parents, 47 00:02:42,960 --> 00:02:45,760 Speaker 3: who were big news junkies. Do you remember the show 48 00:02:45,800 --> 00:02:47,440 Speaker 3: that you did the site on ms and. 49 00:02:47,520 --> 00:02:49,919 Speaker 4: Yes, were you one of the six people who watched 50 00:02:49,919 --> 00:02:50,320 Speaker 4: that show? 51 00:02:50,560 --> 00:02:50,960 Speaker 2: Thank you? 52 00:02:51,400 --> 00:02:53,839 Speaker 4: I'm going to send you a fruit basket. Yeah, thank you. 53 00:02:54,120 --> 00:02:55,760 Speaker 3: My parents were the kind of people who always had 54 00:02:55,840 --> 00:02:58,120 Speaker 3: MSNBC on in the background, so and I loved that 55 00:02:58,280 --> 00:03:00,880 Speaker 3: you had like a you know, I was young when 56 00:03:00,919 --> 00:03:03,080 Speaker 3: it was on, but I loved that there was like 57 00:03:03,120 --> 00:03:05,520 Speaker 3: a virtual host. And so that was a show that 58 00:03:05,560 --> 00:03:08,480 Speaker 3: I remember very clearly watching and part of me wonders 59 00:03:08,480 --> 00:03:11,480 Speaker 3: if I'd even be doing tech media tech journalism today 60 00:03:11,480 --> 00:03:14,080 Speaker 3: if not for these memories of watching that show when I. 61 00:03:14,120 --> 00:03:16,240 Speaker 4: Was so crazy when we did that. 62 00:03:16,240 --> 00:03:19,920 Speaker 1: That was Leo Laporte, who was basically in a I 63 00:03:19,919 --> 00:03:21,440 Speaker 1: don't even know what you would call it, a suit 64 00:03:21,480 --> 00:03:24,720 Speaker 1: that you basically had stickers right, you would capture a 65 00:03:24,720 --> 00:03:28,799 Speaker 1: motion capture suit. And then part of the show of 66 00:03:28,840 --> 00:03:31,520 Speaker 1: the six people who watched it would know that we 67 00:03:31,560 --> 00:03:33,239 Speaker 1: would do a Q and A and then we always 68 00:03:33,240 --> 00:03:35,960 Speaker 1: had to do retraction Monday because he'd get stuff so wrong. 69 00:03:36,000 --> 00:03:38,760 Speaker 1: We'd be like, and it's retraction Monday, where we have 70 00:03:38,840 --> 00:03:42,080 Speaker 1: to take back some of the stuff. Deb Noll was 71 00:03:42,160 --> 00:03:46,080 Speaker 1: the name of the character, got wrong, and then he 72 00:03:46,120 --> 00:03:48,320 Speaker 1: would just he was just ridiculous. We I often had 73 00:03:48,320 --> 00:03:49,800 Speaker 1: to like, I just had to like unplug him all 74 00:03:49,840 --> 00:03:51,280 Speaker 1: the time. It was a really fun show to do. 75 00:03:52,920 --> 00:03:55,200 Speaker 3: The site really was on the cutting edge of so 76 00:03:55,400 --> 00:03:57,840 Speaker 3: much in tech and media, even in the way that 77 00:03:57,880 --> 00:04:01,600 Speaker 3: the show came to an end when Diana died, a 78 00:04:01,720 --> 00:04:05,040 Speaker 3: night that I vividly remember because my mother was obsessed 79 00:04:05,040 --> 00:04:08,880 Speaker 3: with her. The show was preempted for live breaking coverage 80 00:04:08,920 --> 00:04:11,840 Speaker 3: of her death. This was before the news looked and 81 00:04:11,880 --> 00:04:14,520 Speaker 3: functioned the way it does now, with twenty four hour 82 00:04:14,720 --> 00:04:18,680 Speaker 3: rolling updates and constant on air coverage. In that moment, 83 00:04:18,960 --> 00:04:22,560 Speaker 3: the network recognized that continuous live coverage was the direction 84 00:04:22,720 --> 00:04:25,719 Speaker 3: news and media was heading, and the site quietly slept 85 00:04:25,720 --> 00:04:27,280 Speaker 3: off the air as that new era began. 86 00:04:28,279 --> 00:04:31,960 Speaker 1: The site very much cutting edge right on MSNBC in 87 00:04:32,000 --> 00:04:35,679 Speaker 1: an era before cable news became round the clock breaking 88 00:04:35,720 --> 00:04:39,799 Speaker 1: the minute Princess Diana died. That's when the switch happened, 89 00:04:39,880 --> 00:04:43,800 Speaker 1: where suddenly everybody wanted updates really by the minute. They 90 00:04:43,839 --> 00:04:46,560 Speaker 1: needed to have rolling news all the time when there 91 00:04:46,600 --> 00:04:48,360 Speaker 1: was a breaking news story. And that's not really how 92 00:04:48,440 --> 00:04:51,200 Speaker 1: cable had been, which is kind of interesting. And so 93 00:04:52,440 --> 00:04:55,919 Speaker 1: the site launched with MSNBC in nineteen ninety six, but 94 00:04:56,000 --> 00:04:59,680 Speaker 1: we only lasted about a year and a bit because 95 00:04:59,760 --> 00:05:03,280 Speaker 1: you know, with just the format which was taped, which 96 00:05:03,320 --> 00:05:05,680 Speaker 1: it took us. You know, we were using modems right 97 00:05:05,800 --> 00:05:09,400 Speaker 1: fifty eight eight like to do a tech show, so 98 00:05:09,560 --> 00:05:11,480 Speaker 1: sometimes we have to like, let's stup, download and go 99 00:05:11,520 --> 00:05:14,279 Speaker 1: out to lunch, and it would take us an entire 100 00:05:14,360 --> 00:05:16,599 Speaker 1: day to shoot a one hour show. 101 00:05:16,600 --> 00:05:17,560 Speaker 2: And I remember when. 102 00:05:17,400 --> 00:05:19,800 Speaker 1: People said, you know, can you do six days a 103 00:05:19,839 --> 00:05:21,680 Speaker 1: week of shows? I was like, oh my god, I 104 00:05:21,720 --> 00:05:23,760 Speaker 1: don't think so, Like I just do not think so. 105 00:05:23,839 --> 00:05:26,520 Speaker 1: But of course you look back now and you think technology, 106 00:05:26,520 --> 00:05:29,119 Speaker 1: of course, so much to report on, so much talk about, 107 00:05:29,160 --> 00:05:30,760 Speaker 1: and yeah, I think we did get a lot of people, 108 00:05:31,120 --> 00:05:33,360 Speaker 1: and hopefully a lot of women and young women kind 109 00:05:33,360 --> 00:05:36,720 Speaker 1: of interested in tech. Because my approach was that I'm 110 00:05:36,720 --> 00:05:39,279 Speaker 1: not a technologist. I was just like a person and 111 00:05:39,400 --> 00:05:42,400 Speaker 1: I was interested in leveraging it for my use, and 112 00:05:42,480 --> 00:05:45,080 Speaker 1: I thought that was kind of an interesting POV versus 113 00:05:45,160 --> 00:05:48,120 Speaker 1: other folks who were very into you know, they were coders, 114 00:05:48,120 --> 00:05:51,120 Speaker 1: they were computer science majors, they really knew a lot 115 00:05:51,160 --> 00:05:53,520 Speaker 1: about tech, they wrote a lot about tech, and I 116 00:05:53,600 --> 00:05:55,760 Speaker 1: was just like, I would just like this to enhance 117 00:05:55,800 --> 00:05:57,919 Speaker 1: my life. I would like to figure out how to 118 00:05:57,960 --> 00:05:59,560 Speaker 1: use a website. I would like to figure out how 119 00:05:59,600 --> 00:06:03,320 Speaker 1: build a way. I would like to connect with ancestry 120 00:06:03,320 --> 00:06:05,279 Speaker 1: dot com and find long last relatives. 121 00:06:05,279 --> 00:06:06,960 Speaker 4: And it was a little more news you could use. 122 00:06:07,000 --> 00:06:10,280 Speaker 3: I think that's exactly the sort of orientation that we 123 00:06:10,400 --> 00:06:12,240 Speaker 3: come at with our show. 124 00:06:12,240 --> 00:06:13,400 Speaker 2: There are no girls on the internet. 125 00:06:13,680 --> 00:06:17,000 Speaker 3: So much tech reporting and tech media either focus on 126 00:06:17,040 --> 00:06:20,039 Speaker 3: people who are super techy, right, like I know the latest, 127 00:06:20,080 --> 00:06:22,760 Speaker 3: I have the latest, I'm already totally in that world, 128 00:06:22,920 --> 00:06:25,760 Speaker 3: or it's kind of coming at it from a business perspective, 129 00:06:25,839 --> 00:06:28,080 Speaker 3: what are these companies doing, what is OpenAI doing, what 130 00:06:28,160 --> 00:06:28,760 Speaker 3: is X doing? 131 00:06:29,040 --> 00:06:31,000 Speaker 2: And it really leaves out. 132 00:06:30,880 --> 00:06:34,520 Speaker 3: This big group of people who are using tech every 133 00:06:34,600 --> 00:06:38,359 Speaker 3: day are probably tech literate, digital natives, but there's not 134 00:06:38,520 --> 00:06:41,680 Speaker 3: really tech media and tech stories that are really aimed 135 00:06:41,800 --> 00:06:44,240 Speaker 3: at them. If they don't consider themselves techis if they 136 00:06:44,240 --> 00:06:46,960 Speaker 3: didn't you know, get an engineering degree or something like that. 137 00:06:47,040 --> 00:06:48,480 Speaker 2: And I do think that we. 138 00:06:48,440 --> 00:06:51,760 Speaker 3: Should be making tchech media and all kinds of media 139 00:06:51,800 --> 00:06:53,960 Speaker 3: that really gets at that group and says, hey, even 140 00:06:54,000 --> 00:06:56,159 Speaker 3: if you're not a techie, even if you're not a coder, 141 00:06:56,480 --> 00:06:59,000 Speaker 3: you still have a story to tell about how technology 142 00:06:59,080 --> 00:07:00,040 Speaker 3: shapes and shows up in you. 143 00:07:00,600 --> 00:07:02,240 Speaker 4: And this is the bulk of the people, right. 144 00:07:02,279 --> 00:07:03,839 Speaker 1: I mean, the thing if you're looking at a like 145 00:07:03,880 --> 00:07:06,000 Speaker 1: a pie chart, these are most of the people are 146 00:07:06,000 --> 00:07:07,760 Speaker 1: not coders, and they're not people who are going to 147 00:07:07,760 --> 00:07:11,360 Speaker 1: be investing in AI startups, right. These are people who 148 00:07:11,400 --> 00:07:12,760 Speaker 1: are going to try to figure out how it's going 149 00:07:12,800 --> 00:07:14,320 Speaker 1: to impact them and how they're going to use it. 150 00:07:14,400 --> 00:07:17,640 Speaker 1: So I completely agree with you on that, And I 151 00:07:17,640 --> 00:07:20,600 Speaker 1: think the news sometimes falls short. A lot of news 152 00:07:20,680 --> 00:07:24,040 Speaker 1: coverage of tech, right is is your child cheating with AI? 153 00:07:24,480 --> 00:07:25,000 Speaker 4: Versus? 154 00:07:25,080 --> 00:07:26,240 Speaker 2: You know, what are the. 155 00:07:26,560 --> 00:07:29,120 Speaker 1: Really interesting things that you can do with AI? And 156 00:07:29,200 --> 00:07:31,520 Speaker 1: so I feel like the news doesn't really go far enough. 157 00:07:31,560 --> 00:07:33,280 Speaker 1: So I love that you do this show because I 158 00:07:33,280 --> 00:07:35,520 Speaker 1: do think you need a lane for people who want 159 00:07:35,560 --> 00:07:38,960 Speaker 1: to kind of embrace the technology but don't necessarily understand 160 00:07:39,000 --> 00:07:39,440 Speaker 1: it fully. 161 00:07:41,320 --> 00:07:44,760 Speaker 3: Solidad is the executive producer of the documentary The Perfect Neighbor, 162 00:07:45,040 --> 00:07:48,040 Speaker 3: which tells the story of the tragic death of Aj Owens, 163 00:07:48,320 --> 00:07:51,280 Speaker 3: a devoted mother of four in Ocala, Florida, who was 164 00:07:51,280 --> 00:07:55,320 Speaker 3: shot and killed by her neighbor, Susan Lawrens. Susan was 165 00:07:55,880 --> 00:07:59,280 Speaker 3: that kind of neighborhood, the one everyone in the community 166 00:07:59,440 --> 00:08:02,800 Speaker 3: new to a. She called nine to one one over 167 00:08:02,920 --> 00:08:05,960 Speaker 3: and over again to file complaints about the neighborhood kids, 168 00:08:06,240 --> 00:08:09,800 Speaker 3: including AJ's, who were simply playing or maybe being a 169 00:08:09,840 --> 00:08:12,680 Speaker 3: bit loud in the grassy shared space near all of 170 00:08:12,720 --> 00:08:16,320 Speaker 3: their homes. Susan would hurl slurs at the children and 171 00:08:16,440 --> 00:08:20,160 Speaker 3: even throw objects at them. Police officers would show up, 172 00:08:20,520 --> 00:08:23,640 Speaker 3: talk quietly amongst themselves, and leave with the impression that 173 00:08:23,680 --> 00:08:28,000 Speaker 3: something was off about Susan. But even after all those visits, 174 00:08:28,200 --> 00:08:32,840 Speaker 3: nothing really changed. Everything escalated when Aj knocked on Susan's 175 00:08:32,840 --> 00:08:37,120 Speaker 3: door to confront her about taking her son's iPad. Susan 176 00:08:37,240 --> 00:08:40,560 Speaker 3: fired a gun through her lock steel door, killing Aj, 177 00:08:41,040 --> 00:08:44,480 Speaker 3: and would later claim that she feared for her life. 178 00:08:44,600 --> 00:08:48,840 Speaker 3: The Perfect Neighbor has sparked widespread discussion online and renewed 179 00:08:48,880 --> 00:08:52,000 Speaker 3: scrutiny of so called stand your ground laws, how they 180 00:08:52,040 --> 00:08:55,640 Speaker 3: function in practice, and the real impact they have on communities. 181 00:08:56,960 --> 00:08:58,640 Speaker 3: I've wanted to talk to you for the longest, for 182 00:08:58,880 --> 00:09:01,680 Speaker 3: most of my life. But the thing that made me 183 00:09:02,240 --> 00:09:04,800 Speaker 3: want to reach out to you was watching the new 184 00:09:04,840 --> 00:09:08,560 Speaker 3: documentary on Netflix that you made with director dagon Beer, 185 00:09:09,000 --> 00:09:13,080 Speaker 3: The Perfect Neighbor. I don't know that I've one had 186 00:09:13,080 --> 00:09:15,360 Speaker 3: a reaction to a documentary like this before, and two 187 00:09:15,760 --> 00:09:18,200 Speaker 3: seen a reaction to a documentary like this before, and 188 00:09:18,240 --> 00:09:20,679 Speaker 3: I watch a lot of documentaries. I know this is 189 00:09:20,720 --> 00:09:23,200 Speaker 3: a story that you've been following since it first happened. 190 00:09:23,559 --> 00:09:25,280 Speaker 3: What was it about this story that you were drawn to. 191 00:09:25,800 --> 00:09:28,280 Speaker 1: Yeah, from our perspective, I mean as a journalist, right, 192 00:09:28,320 --> 00:09:31,160 Speaker 1: that's a story that crosses what we would say the wires, 193 00:09:31,480 --> 00:09:33,600 Speaker 1: although they're not really wires, but you read about it 194 00:09:33,600 --> 00:09:35,000 Speaker 1: and you just think, oh, my gosh, this is a 195 00:09:35,000 --> 00:09:37,719 Speaker 1: horrible standard ground case. I've covered a lot of those 196 00:09:37,720 --> 00:09:40,600 Speaker 1: standard ground case in Okawa, Florida, which is about four 197 00:09:40,640 --> 00:09:44,480 Speaker 1: hours from where I am right now. For Geeta, it 198 00:09:44,559 --> 00:09:49,720 Speaker 1: turned out that her husband's family was was friendly with 199 00:09:49,840 --> 00:09:50,319 Speaker 1: the woman. 200 00:09:50,160 --> 00:09:50,920 Speaker 3: Who was a victim. 201 00:09:51,240 --> 00:09:54,520 Speaker 4: Wo so aj Owens was one of those such a 202 00:09:54,559 --> 00:09:58,000 Speaker 4: close friend, almost considered like family. We're all family. 203 00:09:58,520 --> 00:10:01,079 Speaker 1: And so I think what she has said is that 204 00:10:01,160 --> 00:10:03,640 Speaker 1: when this happened, she was just like, what do we do? 205 00:10:04,080 --> 00:10:07,679 Speaker 1: You know, she's a filmmaker where journalists rose our city 206 00:10:07,800 --> 00:10:10,559 Speaker 1: is my producer and I so we are, we're big 207 00:10:10,559 --> 00:10:13,520 Speaker 1: and you just go go just send someone, go start 208 00:10:13,520 --> 00:10:18,520 Speaker 1: covering it. And so I think once that police bodycam 209 00:10:19,040 --> 00:10:23,880 Speaker 1: footage became something that had been gathered from the lawyers, 210 00:10:23,960 --> 00:10:26,720 Speaker 1: right this became a criminal case, became gathered from the lawyers, 211 00:10:27,880 --> 00:10:30,880 Speaker 1: suddenly you realize, like this could be a really interesting 212 00:10:31,040 --> 00:10:32,679 Speaker 1: vehicle to tell the story. 213 00:10:33,160 --> 00:10:34,360 Speaker 4: The editor is. 214 00:10:34,320 --> 00:10:38,559 Speaker 1: A young woman named Vidi Deanna Lieberman, and she's fantastic 215 00:10:38,600 --> 00:10:41,040 Speaker 1: and geta laughs about how at one point, you know 216 00:10:41,080 --> 00:10:43,360 Speaker 1: in the film, when you have everybody coming to the 217 00:10:43,360 --> 00:10:48,760 Speaker 1: scene of the ultimate crime, there's like twenty police. So 218 00:10:48,840 --> 00:10:51,040 Speaker 1: keep in mind everyone has a body cap, twenty body cams. 219 00:10:51,080 --> 00:10:54,920 Speaker 1: No one's actually shooting, right, they're just capturing. And the 220 00:10:55,040 --> 00:10:57,440 Speaker 1: editor has to sort of sort through off of a 221 00:10:57,600 --> 00:11:00,120 Speaker 1: giant disc or all this has just been dropped and 222 00:11:00,200 --> 00:11:03,600 Speaker 1: figure out what matches with what, how do you put 223 00:11:03,640 --> 00:11:05,320 Speaker 1: it together to tell a story. 224 00:11:05,400 --> 00:11:06,880 Speaker 4: So it's really a tremendous feat. 225 00:11:06,960 --> 00:11:10,040 Speaker 1: I mean, Gita obviously is a fantastic editor, and just 226 00:11:10,080 --> 00:11:14,040 Speaker 1: everything she does is fabulous and very as a director 227 00:11:14,120 --> 00:11:16,480 Speaker 1: also just really fantastic work. 228 00:11:18,679 --> 00:11:22,040 Speaker 3: So The Perfect Neighbor is not your typical documentary. There 229 00:11:22,040 --> 00:11:26,800 Speaker 3: are no talking heads, no narrator guiding you through the story. Instead, 230 00:11:27,080 --> 00:11:32,600 Speaker 3: everything unfolds through raw surveillance, police bodycam video, security footage, 231 00:11:32,640 --> 00:11:37,880 Speaker 3: interrogation room recordings. It creates this unsettling, unblinking view of 232 00:11:37,920 --> 00:11:41,240 Speaker 3: the case, showing everything from the immediate aftermath of the 233 00:11:41,320 --> 00:11:45,120 Speaker 3: murder itself to the disturbing reality of AJ's killer simply 234 00:11:45,240 --> 00:11:48,240 Speaker 3: living her life and moving in with family instead of 235 00:11:48,280 --> 00:11:52,240 Speaker 3: being arrested. We aren't told what happened. We see it, 236 00:11:52,559 --> 00:11:55,800 Speaker 3: and that makes it all the more chilling. Do you 237 00:11:55,840 --> 00:11:59,160 Speaker 3: have any sense of how the decision was made that 238 00:11:59,200 --> 00:12:02,360 Speaker 3: the film was going to be almost entirely constructed through 239 00:12:02,480 --> 00:12:05,199 Speaker 3: that kind of surveillance footage, whether it's bodycam footage or 240 00:12:05,320 --> 00:12:06,960 Speaker 3: the ring camera footage that we see. 241 00:12:07,160 --> 00:12:09,040 Speaker 1: Yeah, I think generally you always start with, well, so 242 00:12:09,040 --> 00:12:11,280 Speaker 1: how do we do this? And I think for Geeta, 243 00:12:11,320 --> 00:12:13,600 Speaker 1: and she's talked about this that you know, once it 244 00:12:13,640 --> 00:12:17,720 Speaker 1: became clear that you could almost do it as a thriller, right, 245 00:12:18,160 --> 00:12:21,959 Speaker 1: it actually reads as a true crime stoy. You watch 246 00:12:21,960 --> 00:12:24,600 Speaker 1: it unfold, and even though you start with the ending 247 00:12:24,920 --> 00:12:29,280 Speaker 1: and then you backtrack, you actually it unfolds like a thriller. 248 00:12:29,559 --> 00:12:33,080 Speaker 1: And Geta is also an editor herself, That's how she 249 00:12:33,120 --> 00:12:35,280 Speaker 1: got her start. So I think she really saw it 250 00:12:35,360 --> 00:12:38,480 Speaker 1: that way. And once you had the bodycam footage, I 251 00:12:38,480 --> 00:12:41,600 Speaker 1: think it really helped to do something that as reporters 252 00:12:41,679 --> 00:12:42,280 Speaker 1: we never do. 253 00:12:42,400 --> 00:12:42,520 Speaker 2: Right. 254 00:12:42,559 --> 00:12:45,360 Speaker 1: Whenever there's a standard ground case, and I've covered a 255 00:12:45,400 --> 00:12:48,920 Speaker 1: handful of them, you go in the aftermath, right, you 256 00:12:48,960 --> 00:12:51,680 Speaker 1: interview people in the aftermath, and you pick and choose 257 00:12:51,720 --> 00:12:55,439 Speaker 1: who when it's the police pov, it's not my pov, 258 00:12:55,679 --> 00:12:58,560 Speaker 1: it's not Geeta's POV, it's not Very's pov. Right, this 259 00:12:58,679 --> 00:13:02,160 Speaker 1: is just from body cam, And so I think it 260 00:13:02,160 --> 00:13:04,319 Speaker 1: gives you a really interesting perspective that a lot of 261 00:13:04,360 --> 00:13:05,960 Speaker 1: people have said to me they felt like it was 262 00:13:06,040 --> 00:13:09,920 Speaker 1: much more true that they didn't. They didn't doubt like, 263 00:13:10,000 --> 00:13:13,360 Speaker 1: oh is this a spin? Because the police were not 264 00:13:13,480 --> 00:13:17,240 Speaker 1: shooting for us or anybody, They're just wearing body cams. 265 00:13:17,240 --> 00:13:19,559 Speaker 1: And so I think it's a really interesting look at 266 00:13:19,840 --> 00:13:23,520 Speaker 1: a story that unfolds in a terrible, terrible, deadly way, 267 00:13:24,880 --> 00:13:26,679 Speaker 1: and you can see step by step because of course 268 00:13:26,720 --> 00:13:30,160 Speaker 1: the police have been called basically two years of these 269 00:13:30,679 --> 00:13:33,800 Speaker 1: terrible interactions and minor interactions, right, some kind of in 270 00:13:33,840 --> 00:13:38,200 Speaker 1: a lot of way, stupid interactions that just escalated and 271 00:13:38,320 --> 00:13:42,320 Speaker 1: escalated to sus Lawrence shot her neighbor through her locked door. 272 00:13:43,600 --> 00:13:47,040 Speaker 3: So when we think about these standard ground cases, so 273 00:13:47,360 --> 00:13:50,280 Speaker 3: much of them, and especially you know, in the lead 274 00:13:50,360 --> 00:13:53,840 Speaker 3: up to you and then after the treyvon Martin incident, 275 00:13:54,120 --> 00:13:58,680 Speaker 3: so many of them are these sensationalized headlines that really 276 00:13:58,800 --> 00:14:03,120 Speaker 3: kind of the conversation just felt feels very insidiary to me, Right, 277 00:14:03,320 --> 00:14:06,240 Speaker 3: it's just this splashy headline you might get right wing 278 00:14:06,400 --> 00:14:10,480 Speaker 3: talking heads on TV. But the film really, to me 279 00:14:10,800 --> 00:14:13,920 Speaker 3: kind of demonstrates what it would actually look like, all 280 00:14:13,960 --> 00:14:18,280 Speaker 3: of the heartbreaking, horrifying details of what these cases would 281 00:14:18,360 --> 00:14:21,240 Speaker 3: actually look like. And I wonder do you feel that 282 00:14:20,880 --> 00:14:23,560 Speaker 3: that was an argument that was trying to be made 283 00:14:23,600 --> 00:14:25,680 Speaker 3: in this film of like, oh, people think that you 284 00:14:25,880 --> 00:14:27,480 Speaker 3: should be able to stand your ground and if you 285 00:14:27,520 --> 00:14:29,800 Speaker 3: feel threatened, you should be able to shoot anybody. 286 00:14:29,440 --> 00:14:32,720 Speaker 2: Through a closed door. This is what it would actually 287 00:14:32,760 --> 00:14:34,119 Speaker 2: look like if that was the case. 288 00:14:34,400 --> 00:14:38,480 Speaker 1: I think it's always important to show things as they are, right. 289 00:14:38,520 --> 00:14:40,800 Speaker 1: I mean, for me, documentaries are about getting in there 290 00:14:40,840 --> 00:14:43,160 Speaker 1: and saying, this is actually what it is, this is 291 00:14:43,200 --> 00:14:47,840 Speaker 1: how it unfolded, this is the ridiculously small incident that 292 00:14:47,960 --> 00:14:50,200 Speaker 1: really kept spiraling and spiraling and spiraling. 293 00:14:50,280 --> 00:14:51,720 Speaker 4: Right, it's this. 294 00:14:53,400 --> 00:14:55,920 Speaker 1: Is what exactly happened, and you can see it. And 295 00:14:56,000 --> 00:14:59,360 Speaker 1: so to me, I think that's really important. It allows 296 00:14:59,400 --> 00:15:02,200 Speaker 1: you to sort of help people again see not in 297 00:15:02,240 --> 00:15:05,640 Speaker 1: the aftermath, but is unfolding what exactly is happening. And 298 00:15:05,680 --> 00:15:08,040 Speaker 1: I don't think people really you know, I don't. Someone's 299 00:15:08,040 --> 00:15:09,440 Speaker 1: asked me the other day, you know, do you think 300 00:15:09,440 --> 00:15:11,680 Speaker 1: you'll help people change their mind on stand your ground? 301 00:15:11,920 --> 00:15:13,480 Speaker 1: I was like, I think most people don't really even 302 00:15:13,520 --> 00:15:16,080 Speaker 1: know what stand your ground really is, right. They don't 303 00:15:16,120 --> 00:15:18,560 Speaker 1: necessarily know it's a law, you know, but and it's 304 00:15:18,600 --> 00:15:22,040 Speaker 1: different in different states, But most people don't really know 305 00:15:22,080 --> 00:15:24,400 Speaker 1: exactly what it is. And so for me, I think 306 00:15:24,400 --> 00:15:28,400 Speaker 1: it's a really helpful way to understand that this woman 307 00:15:28,480 --> 00:15:32,040 Speaker 1: is not arrested right after there is a shooting. She 308 00:15:32,160 --> 00:15:34,040 Speaker 1: kills her neighbor, she shoots. 309 00:15:33,680 --> 00:15:34,960 Speaker 4: Through her locked doors. 310 00:15:35,280 --> 00:15:37,560 Speaker 1: No there's no guess about who did it, right, there's 311 00:15:37,560 --> 00:15:39,640 Speaker 1: nobody trying to figure out, oh my god, who was 312 00:15:39,680 --> 00:15:42,680 Speaker 1: the perpetrator. And yet she gets picked up by her 313 00:15:42,720 --> 00:15:43,880 Speaker 1: family and she goes away. 314 00:15:43,920 --> 00:15:44,640 Speaker 4: She's not in jail. 315 00:15:45,320 --> 00:15:48,400 Speaker 1: Why is that stand your ground right allows them to 316 00:15:48,400 --> 00:15:51,200 Speaker 1: do an investigation to see, you know, did she actually 317 00:15:51,280 --> 00:15:55,200 Speaker 1: fear for her life? And Susan certainly has had enough training, 318 00:15:55,240 --> 00:15:58,160 Speaker 1: if you will, right googling, to know that one of 319 00:15:58,160 --> 00:16:00,480 Speaker 1: the things you claim and stand your ground. I feared 320 00:16:00,480 --> 00:16:03,000 Speaker 1: for my life. I feeled for my life, I felt unsafe, 321 00:16:03,040 --> 00:16:05,080 Speaker 1: I feared for my life. So I think all of 322 00:16:05,120 --> 00:16:09,240 Speaker 1: that is a really fascinating insight into, as you say, right, 323 00:16:09,280 --> 00:16:12,600 Speaker 1: how these things actually unfold in real time. 324 00:16:15,560 --> 00:16:30,800 Speaker 3: Let's take a quick break at our back. I don't 325 00:16:30,800 --> 00:16:33,640 Speaker 3: even really know how to ask this, but in watching 326 00:16:33,680 --> 00:16:37,600 Speaker 3: the movie, I it the community reminded me of the 327 00:16:37,640 --> 00:16:40,520 Speaker 3: neighborhood where I grew up, Right, A bunch of kids 328 00:16:40,760 --> 00:16:43,920 Speaker 3: running around all the time, probably also being allowed that obnoxious. 329 00:16:44,040 --> 00:16:47,040 Speaker 3: I'll own that myself. A lot of adults who all 330 00:16:47,080 --> 00:16:49,320 Speaker 3: look out for the kids. And that's just the community 331 00:16:49,320 --> 00:16:51,600 Speaker 3: that you have. And having grown up in a community 332 00:16:51,640 --> 00:16:54,600 Speaker 3: like that, I know that it's like a precious thing. 333 00:16:54,680 --> 00:16:56,640 Speaker 3: It's like a like I'm able to look back so 334 00:16:56,800 --> 00:16:59,400 Speaker 3: fondly on my youth because that's where I was looking, 335 00:16:59,480 --> 00:17:00,960 Speaker 3: the kind of I was lucky enough to. 336 00:17:00,920 --> 00:17:03,040 Speaker 2: Grow up in. I don't even know how to word it. 337 00:17:03,440 --> 00:17:06,000 Speaker 3: I think that one of the things Susan was actually 338 00:17:06,080 --> 00:17:08,840 Speaker 3: mad at was that she lived in a place where 339 00:17:08,880 --> 00:17:11,800 Speaker 3: it was a multi racial community, where folks got along 340 00:17:11,880 --> 00:17:13,800 Speaker 3: and folks looked out for each other, and there was 341 00:17:13,840 --> 00:17:15,359 Speaker 3: something about that that. 342 00:17:15,359 --> 00:17:18,240 Speaker 2: Drove her that she could not stand. What do you 343 00:17:18,240 --> 00:17:18,760 Speaker 2: think about this? 344 00:17:19,080 --> 00:17:21,680 Speaker 1: Yeah, no, I don't think you're wrong. I mean clearly right. 345 00:17:21,720 --> 00:17:25,000 Speaker 1: She would, you know, use racial slurs with small children. 346 00:17:25,119 --> 00:17:28,000 Speaker 1: So there was some major issue that she had around 347 00:17:28,040 --> 00:17:29,280 Speaker 1: her neighbors around race. 348 00:17:30,119 --> 00:17:30,320 Speaker 2: Yeah. 349 00:17:30,359 --> 00:17:31,920 Speaker 1: You know what I thought was so interesting is that 350 00:17:32,080 --> 00:17:35,240 Speaker 1: you often hear like this is a calm, quiet neighborhood, 351 00:17:35,560 --> 00:17:38,640 Speaker 1: multi racial community, but to see it right, to see 352 00:17:38,640 --> 00:17:42,040 Speaker 1: how the police interact with the kids, to see how 353 00:17:42,080 --> 00:17:45,600 Speaker 1: the police are dapping the dad and the white mom 354 00:17:45,680 --> 00:17:48,160 Speaker 1: when the as so, which, you know, which kids are yours? 355 00:17:48,200 --> 00:17:50,600 Speaker 1: And she says, well, they're all mine, And she's not kidding. 356 00:17:50,920 --> 00:17:54,040 Speaker 1: She's like, in this neighborhood, we all kind of take 357 00:17:54,040 --> 00:17:57,280 Speaker 1: care of everybody, and then to see that collapse right 358 00:17:57,400 --> 00:18:03,000 Speaker 1: after the shooting, that sense of togetherness, that sense of hey, 359 00:18:03,040 --> 00:18:06,640 Speaker 1: the police are working with the community and everybody gets along. 360 00:18:07,320 --> 00:18:08,320 Speaker 1: It's pretty much gone. 361 00:18:08,880 --> 00:18:11,800 Speaker 3: Because they had something good that is like rare and 362 00:18:11,920 --> 00:18:12,600 Speaker 3: hard to find. 363 00:18:12,640 --> 00:18:14,320 Speaker 2: They really had something good. 364 00:18:14,359 --> 00:18:17,680 Speaker 1: Something great, I would argue, right, and again, I think 365 00:18:17,720 --> 00:18:20,359 Speaker 1: the things that surprise me were like, oh, this is 366 00:18:20,400 --> 00:18:23,080 Speaker 1: a community where everybody's just hanging out and getting along. 367 00:18:23,760 --> 00:18:24,320 Speaker 4: Number one. 368 00:18:24,440 --> 00:18:26,919 Speaker 1: Number two, here's a community where the police are constantly 369 00:18:26,960 --> 00:18:29,959 Speaker 1: trying to figure out. Yeah, we actually think this lady's 370 00:18:29,960 --> 00:18:32,440 Speaker 1: a little bit of a you know, crackpot, but we 371 00:18:32,560 --> 00:18:34,080 Speaker 1: got to tell you guys, you know, try to keep 372 00:18:34,119 --> 00:18:35,320 Speaker 1: it down a little bit. But on the other end, 373 00:18:35,320 --> 00:18:38,119 Speaker 1: their kids, they're doing kids things that could be much worse. 374 00:18:38,160 --> 00:18:40,879 Speaker 1: They're just playing. At one point, the little girl who says, 375 00:18:41,280 --> 00:18:46,120 Speaker 1: you know, we're eleven, because like, yes, they're small children, 376 00:18:45,920 --> 00:18:48,600 Speaker 1: and we know that, you know, especially kids of color 377 00:18:48,640 --> 00:18:51,359 Speaker 1: are often perceived to be older and more dangerous and 378 00:18:51,440 --> 00:18:54,520 Speaker 1: more worldly, et cetera, et cetera. So I think there 379 00:18:54,600 --> 00:18:57,359 Speaker 1: is a sense you really see like kids playing in 380 00:18:57,400 --> 00:19:01,800 Speaker 1: the neighborhood a lot. So yeah, you just those things 381 00:19:01,840 --> 00:19:04,720 Speaker 1: surprise me. When I first saw the video, I was like, Oh, 382 00:19:04,920 --> 00:19:07,880 Speaker 1: I don't know what I thought the police would be doing. 383 00:19:07,920 --> 00:19:10,600 Speaker 1: I don't know how young they were, how willing they 384 00:19:10,640 --> 00:19:12,880 Speaker 1: were to go back and forth and try to kind 385 00:19:12,920 --> 00:19:16,160 Speaker 1: of maintain the piece, if you will. Susan would call 386 00:19:16,200 --> 00:19:18,560 Speaker 1: the police constantly, but you know, the neighbors never called 387 00:19:18,560 --> 00:19:21,240 Speaker 1: the police on Susan, never, never, once. 388 00:19:22,640 --> 00:19:25,800 Speaker 3: You know, it was obvious to everybody that Susan was 389 00:19:25,840 --> 00:19:26,600 Speaker 3: a big problem. 390 00:19:26,640 --> 00:19:28,720 Speaker 2: There are so many red flags and the. 391 00:19:28,680 --> 00:19:31,760 Speaker 3: Way that the police talk about her among each other, 392 00:19:31,800 --> 00:19:34,520 Speaker 3: where they're like, Oh, it's her again, She's crazy. 393 00:19:35,200 --> 00:19:37,919 Speaker 2: Is there a sense from the neighbors do you think that? 394 00:19:39,520 --> 00:19:41,080 Speaker 3: I mean, I'm not even sure legally if there was 395 00:19:41,119 --> 00:19:44,680 Speaker 3: anything to be done, but frivolous call after frivolous call. 396 00:19:45,000 --> 00:19:46,639 Speaker 3: I do get a sense of I'm happy that the 397 00:19:46,680 --> 00:19:51,680 Speaker 3: police were so cool with the kids and the families. 398 00:19:51,800 --> 00:19:53,280 Speaker 3: But at a certain point, part of me is like, 399 00:19:53,359 --> 00:19:56,560 Speaker 3: if they had done something to let Susan know that 400 00:19:56,600 --> 00:19:59,280 Speaker 3: this behavior wasn't okay, perhaps we wouldn't even be having 401 00:19:59,280 --> 00:20:00,800 Speaker 3: this conversation right now. Y. 402 00:20:00,880 --> 00:20:03,760 Speaker 1: It's really an interesting question, and this have had this 403 00:20:03,800 --> 00:20:06,040 Speaker 1: discussion a lot right where people say the police should 404 00:20:06,080 --> 00:20:08,960 Speaker 1: have done something, And I think the rejoinder to that is, 405 00:20:09,480 --> 00:20:12,520 Speaker 1: no one ever called the police on Susan, right, I 406 00:20:12,520 --> 00:20:14,560 Speaker 1: mean not one. No one even said listen, I'm sick 407 00:20:14,600 --> 00:20:16,440 Speaker 1: of her calling the police on us. This is not okay, 408 00:20:16,520 --> 00:20:20,359 Speaker 1: She's obviously a problem. Do they just go and arrest people? 409 00:20:20,560 --> 00:20:22,960 Speaker 1: Are the calls relief frivolous? They go, they talk, They 410 00:20:23,240 --> 00:20:26,040 Speaker 1: you know, there's clearly some kind of a dispute, They 411 00:20:26,040 --> 00:20:26,520 Speaker 1: break it up. 412 00:20:26,520 --> 00:20:28,960 Speaker 4: For the most part, they move on. Yeah, it would 413 00:20:28,960 --> 00:20:29,800 Speaker 4: be amazing. 414 00:20:29,480 --> 00:20:32,560 Speaker 1: If the police had said we we see this problem. 415 00:20:32,600 --> 00:20:35,760 Speaker 1: And I think it really underscores the point of what's 416 00:20:35,800 --> 00:20:38,840 Speaker 1: being discussed with the standard ground laws, right, like, how 417 00:20:38,880 --> 00:20:43,480 Speaker 1: does a person who absolutely positively is a living, breathing 418 00:20:43,560 --> 00:20:46,680 Speaker 1: red flag get access to three guns? 419 00:20:46,920 --> 00:20:47,919 Speaker 2: Right? How is that possible? 420 00:20:47,960 --> 00:20:49,359 Speaker 1: How is it possible to No one says, you know, 421 00:20:50,000 --> 00:20:52,920 Speaker 1: this lady has a lot of guns. Maybe we should 422 00:20:53,000 --> 00:20:56,359 Speaker 1: rethink the fat right, No, never happens, And so I 423 00:20:56,400 --> 00:20:58,720 Speaker 1: think it is a classic sense of you know, the 424 00:20:58,800 --> 00:21:00,800 Speaker 1: person who is the perpect trader is the one who's 425 00:21:00,840 --> 00:21:03,240 Speaker 1: constantly calling the police. The other people who will end 426 00:21:03,320 --> 00:21:06,199 Speaker 1: up being the victims never called the police, and the 427 00:21:06,200 --> 00:21:08,280 Speaker 1: people who are really who really suffer at the end 428 00:21:08,320 --> 00:21:11,480 Speaker 1: of the day are those folks who always suffering stand 429 00:21:11,520 --> 00:21:14,080 Speaker 1: your ground laws, the people who who are victimized. 430 00:21:15,600 --> 00:21:18,639 Speaker 3: Susan shot and killed Aj through a locked steel door 431 00:21:18,800 --> 00:21:22,719 Speaker 3: while AJ's young son stood beside her, and afterward, Susan 432 00:21:22,880 --> 00:21:27,520 Speaker 3: was not immediately arrested. She claimed protection under Florida's stand 433 00:21:27,520 --> 00:21:30,119 Speaker 3: your Ground law, which allows a person to use force, 434 00:21:30,359 --> 00:21:33,719 Speaker 3: even deadly force, if they reasonably believe that they're facing 435 00:21:33,720 --> 00:21:38,240 Speaker 3: an imminent threat, without any duty to retreat. Investigators later 436 00:21:38,280 --> 00:21:42,240 Speaker 3: discovered that Susan had googled stand your ground laws before 437 00:21:42,320 --> 00:21:46,040 Speaker 3: the shooting, suggesting that she wasn't actually fearing for her life, 438 00:21:46,320 --> 00:21:50,320 Speaker 3: but rather setting up the killing by researching exactly how 439 00:21:50,320 --> 00:21:53,399 Speaker 3: to frame her defense. What do you think about the 440 00:21:53,440 --> 00:21:56,119 Speaker 3: conversation that we're currently having about things like stand your 441 00:21:56,160 --> 00:21:59,679 Speaker 3: ground laws. Just recently, there was that horrible situation in 442 00:21:59,680 --> 00:22:02,960 Speaker 3: India where a cleaner came to the wrong house, knocked 443 00:22:03,000 --> 00:22:04,800 Speaker 3: on the door, and when she knocked on it, a 444 00:22:04,880 --> 00:22:08,080 Speaker 3: man shot and killed her through the shut door, and 445 00:22:08,119 --> 00:22:10,639 Speaker 3: the case was expected to test stan your ground laws 446 00:22:10,640 --> 00:22:14,400 Speaker 3: in Indiana, but ultimately that man was charged because prosecutors 447 00:22:14,400 --> 00:22:17,240 Speaker 3: were like, listen, shooting somebody through a shut door simply 448 00:22:17,280 --> 00:22:19,800 Speaker 3: because they knocked on it does not meet the requirements for. 449 00:22:19,840 --> 00:22:20,520 Speaker 2: Stand your ground. 450 00:22:20,880 --> 00:22:24,000 Speaker 3: Even if that person thought, well, I'm defending my home 451 00:22:24,080 --> 00:22:25,440 Speaker 3: because this person knocked. 452 00:22:25,200 --> 00:22:27,000 Speaker 2: On my door. And I don't know. 453 00:22:27,320 --> 00:22:31,119 Speaker 3: I just think that the conversation around crime have gotten 454 00:22:31,200 --> 00:22:34,320 Speaker 3: so out of control that when these things happen. Frankly, 455 00:22:34,400 --> 00:22:36,520 Speaker 3: I don't expect people to take a step back and say, well, 456 00:22:36,520 --> 00:22:39,560 Speaker 3: wait a minute, should we have a culture where it's 457 00:22:39,600 --> 00:22:42,159 Speaker 3: normalized and okay to just shoot through a door and 458 00:22:42,240 --> 00:22:43,200 Speaker 3: ask questions later? 459 00:22:44,320 --> 00:22:44,919 Speaker 4: It's crazy. 460 00:22:44,920 --> 00:22:47,000 Speaker 1: And again, there have been so many of these stories, right, 461 00:22:47,040 --> 00:22:49,240 Speaker 1: You and I could tick off, probably just off the 462 00:22:49,280 --> 00:22:51,520 Speaker 1: top of our heads without even having to google it, 463 00:22:51,800 --> 00:22:55,439 Speaker 1: five or six recent cases where someone's been shot or 464 00:22:55,520 --> 00:22:58,800 Speaker 1: killed or both, you know, because of a you know, 465 00:22:58,840 --> 00:23:01,600 Speaker 1: clay and so inclaiming stand your ground. And I think 466 00:23:01,640 --> 00:23:04,680 Speaker 1: that person who does it feels justified, right, They feel 467 00:23:04,680 --> 00:23:06,560 Speaker 1: like I can protect my home and if I feel 468 00:23:06,600 --> 00:23:09,320 Speaker 1: even slightly afraid, even if it's just someone pulling into 469 00:23:09,359 --> 00:23:11,639 Speaker 1: the wrong driveway, even if it's someone looking at for 470 00:23:11,680 --> 00:23:13,800 Speaker 1: the wrong house, even if it's someone who's just gone 471 00:23:13,800 --> 00:23:17,320 Speaker 1: to the wrong place accidentally. I am justified in shooting 472 00:23:17,359 --> 00:23:20,600 Speaker 1: that person and killing that person. So yeah, it's bizarre, right. 473 00:23:20,920 --> 00:23:22,520 Speaker 1: I think it's crazy that we've gotten here and what 474 00:23:22,560 --> 00:23:25,040 Speaker 1: you really see. And there's a slide at the end 475 00:23:25,040 --> 00:23:27,240 Speaker 1: of the documentary that points out, you know, the people 476 00:23:27,280 --> 00:23:30,160 Speaker 1: who really suffer from strand your ground laws are people 477 00:23:30,200 --> 00:23:32,720 Speaker 1: of color. You know, those are the people who I 478 00:23:34,200 --> 00:23:36,400 Speaker 1: don't have any proof for this, but I am very 479 00:23:36,400 --> 00:23:39,560 Speaker 1: confident that if Susan had been a black woman and 480 00:23:39,600 --> 00:23:42,240 Speaker 1: she had shot a white lady through her locked door, 481 00:23:43,080 --> 00:23:45,080 Speaker 1: she would have been arrested on the spot. 482 00:23:45,280 --> 00:23:45,440 Speaker 2: Right. 483 00:23:45,560 --> 00:23:47,439 Speaker 1: There was a good there was no question who did it. 484 00:23:47,480 --> 00:23:50,960 Speaker 1: They weren't looking for the shooter. The idea that she 485 00:23:51,119 --> 00:23:53,399 Speaker 1: was able to be free is obviously you see in 486 00:23:53,400 --> 00:23:56,920 Speaker 1: the film what sets everybody and just you know off 487 00:23:56,960 --> 00:24:00,760 Speaker 1: and makes them very angry about what potentially could happen. 488 00:24:01,160 --> 00:24:03,120 Speaker 1: And so the family and the neighbors have to really 489 00:24:03,119 --> 00:24:07,280 Speaker 1: start marching and calling attention to the crime because it could, 490 00:24:07,440 --> 00:24:11,520 Speaker 1: just like others, you know, become that salacious talking head 491 00:24:11,600 --> 00:24:16,240 Speaker 1: football that is, you know, some point stops being focused 492 00:24:16,280 --> 00:24:19,040 Speaker 1: on the case and starts being focused on the chaos. 493 00:24:20,040 --> 00:24:23,800 Speaker 3: The reaction to the film has been intense. One moment 494 00:24:23,840 --> 00:24:27,280 Speaker 3: that's been particularly talked about online is a harrowing scene 495 00:24:27,320 --> 00:24:30,280 Speaker 3: where AJ's children break down after learning that their mother 496 00:24:30,320 --> 00:24:33,320 Speaker 3: has been killed. It honestly, it is one of the 497 00:24:33,320 --> 00:24:36,359 Speaker 3: most gut wrenching things I have ever seen on screen. 498 00:24:37,080 --> 00:24:40,119 Speaker 3: It was a tragedy, and the way Aja's family has 499 00:24:40,160 --> 00:24:45,080 Speaker 3: responded echoes the tragedy of Emmett Till. In nineteen fifty five, 500 00:24:45,320 --> 00:24:48,520 Speaker 3: fourteen year old Emmett Till was falsely accused of whistling 501 00:24:48,520 --> 00:24:51,800 Speaker 3: at a white woman while visiting family in Mississippi. He 502 00:24:51,960 --> 00:24:56,359 Speaker 3: was lynched and brutally mutilated. His mother made me Tell 503 00:24:56,800 --> 00:25:00,280 Speaker 3: made the courageous and history altering decision to hold an 504 00:25:00,320 --> 00:25:03,720 Speaker 3: open casket funeral, saying that she wanted the world to 505 00:25:03,760 --> 00:25:07,520 Speaker 3: see what had happened for themselves, saying, there was just 506 00:25:07,560 --> 00:25:09,639 Speaker 3: no way I could describe what was in that box, 507 00:25:10,119 --> 00:25:13,000 Speaker 3: no way, and I just wanted the world to see. 508 00:25:13,119 --> 00:25:16,320 Speaker 3: Photos of Emmett Till's body were published in black publications 509 00:25:16,359 --> 00:25:21,960 Speaker 3: like Jet and The Chicago Defender, sparking national and international outrage. 510 00:25:22,119 --> 00:25:25,240 Speaker 3: One photograph from JET showing Maimie Tail at the funeral 511 00:25:25,359 --> 00:25:29,000 Speaker 3: standing over her son's mutilated corpse was named by Time 512 00:25:29,040 --> 00:25:31,600 Speaker 3: as one of the one hundred most influential images of 513 00:25:31,640 --> 00:25:32,119 Speaker 3: all time. 514 00:25:32,680 --> 00:25:35,040 Speaker 2: It ran with the caption quote. 515 00:25:35,280 --> 00:25:38,840 Speaker 3: For almost a century, African Americans were lynched with regularity 516 00:25:38,880 --> 00:25:43,160 Speaker 3: and impunity. Now, thanks to a mother's determination to expose 517 00:25:43,200 --> 00:25:46,720 Speaker 3: the barbarousness of this crime, the public could no longer 518 00:25:46,760 --> 00:25:49,840 Speaker 3: pretend to ignore what they couldn't see. So while the 519 00:25:49,840 --> 00:25:52,960 Speaker 3: scene of AJ's children learning about their mother's murder is 520 00:25:53,040 --> 00:25:57,280 Speaker 3: deeply harrowing, it was included because AJ's family wanted the 521 00:25:57,280 --> 00:26:00,439 Speaker 3: truth to be told for everyone to see for themselves, 522 00:26:01,119 --> 00:26:04,920 Speaker 3: just like Mamie till the scene that I don't know 523 00:26:04,960 --> 00:26:08,520 Speaker 3: if I'll ever stop thinking about it, the scene when 524 00:26:08,560 --> 00:26:10,680 Speaker 3: we see AJ's children. 525 00:26:10,640 --> 00:26:13,520 Speaker 2: Being informed that their mom brutal been killed. 526 00:26:13,520 --> 00:26:16,200 Speaker 3: I mean I had to stop the movie to sob 527 00:26:16,320 --> 00:26:21,040 Speaker 3: because I was unable to continue watching. I've never seen 528 00:26:21,080 --> 00:26:24,560 Speaker 3: a scene quite like that. I've seen some folks say like, oh, 529 00:26:24,600 --> 00:26:26,879 Speaker 3: this was too much. We as the audience should not 530 00:26:26,920 --> 00:26:28,840 Speaker 3: have been let into a moment like that. What do 531 00:26:28,880 --> 00:26:29,480 Speaker 3: you think about that? 532 00:26:30,080 --> 00:26:30,199 Speaker 2: Oh? 533 00:26:30,280 --> 00:26:32,560 Speaker 1: I would say two things. So first is what Gita 534 00:26:32,600 --> 00:26:35,280 Speaker 1: has said in her conversations, And we've spent a lot 535 00:26:35,320 --> 00:26:38,399 Speaker 1: of time with the AJ's mom, Pamela Diaz, who's in 536 00:26:38,400 --> 00:26:40,919 Speaker 1: the film as well, but has also been I've been 537 00:26:41,040 --> 00:26:42,920 Speaker 1: lots of panels with her, and she's done a lot 538 00:26:42,960 --> 00:26:45,320 Speaker 1: of sort of traveling with the doc is you go 539 00:26:45,359 --> 00:26:48,480 Speaker 1: to various film festivals, and she very clearly has said 540 00:26:48,480 --> 00:26:50,359 Speaker 1: she wanted to She saw this sort of as a 541 00:26:51,040 --> 00:26:52,400 Speaker 1: Mami till moment. 542 00:26:52,320 --> 00:26:53,280 Speaker 4: Right like that. 543 00:26:53,359 --> 00:26:57,159 Speaker 1: There was this opportunity to show the actual horror of 544 00:26:57,240 --> 00:27:00,560 Speaker 1: a horrible thing. So that's one thing. So it really 545 00:27:00,640 --> 00:27:02,520 Speaker 1: did come with the permission, if. 546 00:27:02,400 --> 00:27:05,440 Speaker 4: You will, of a family. Number two. 547 00:27:06,800 --> 00:27:09,840 Speaker 1: I think that off of that, this is a documentary 548 00:27:10,200 --> 00:27:13,480 Speaker 1: about a killing, and I don't think it's fair to 549 00:27:13,560 --> 00:27:15,919 Speaker 1: do a documentary about a killing and then say, but actually, 550 00:27:15,920 --> 00:27:19,520 Speaker 1: we're not gonna get to the killing. I just think 551 00:27:19,640 --> 00:27:22,600 Speaker 1: the way AJ died was horrible, and I think the 552 00:27:22,640 --> 00:27:26,560 Speaker 1: audience needs to understand the impact on her children, on 553 00:27:26,640 --> 00:27:31,439 Speaker 1: the community, on everything is palpable, and I think people 554 00:27:31,520 --> 00:27:32,560 Speaker 1: have to understand that. 555 00:27:32,680 --> 00:27:33,520 Speaker 4: And I don't know that. 556 00:27:33,520 --> 00:27:37,120 Speaker 1: It's it's a good thing to clean that up, to say, 557 00:27:37,119 --> 00:27:39,080 Speaker 1: this part's kind of hard to watch, so you know what, 558 00:27:39,520 --> 00:27:41,040 Speaker 1: we're just going to clean this up for you. 559 00:27:41,480 --> 00:27:43,040 Speaker 3: I don't think so. 560 00:27:43,280 --> 00:27:44,240 Speaker 4: I don't miss. 561 00:27:44,359 --> 00:27:46,679 Speaker 1: This doc is about a killing and about a really 562 00:27:46,800 --> 00:27:50,320 Speaker 1: terrible policy that causes great harm to people of color. 563 00:27:51,280 --> 00:27:55,640 Speaker 3: And I think that being the general public being really 564 00:27:55,680 --> 00:27:59,760 Speaker 3: removed from what this policy actually translates into the real 565 00:27:59,800 --> 00:28:03,840 Speaker 3: world harm on children, on moms, on communities, on families, 566 00:28:04,359 --> 00:28:08,920 Speaker 3: I think people do need to see that to understand, like, yeah, 567 00:28:09,560 --> 00:28:12,679 Speaker 3: it is a public policy decision or conversation in addition 568 00:28:12,720 --> 00:28:14,800 Speaker 3: to being like a like a personal conversation. 569 00:28:15,119 --> 00:28:19,119 Speaker 1: Absolutely, And also it's this is a documentary about a killing, 570 00:28:19,640 --> 00:28:22,400 Speaker 1: a horrible killing, and we get to see the before, 571 00:28:22,920 --> 00:28:26,879 Speaker 1: the middle, and the after and the aftermath. And so 572 00:28:27,040 --> 00:28:29,840 Speaker 1: I think it would be a very weird decision to 573 00:28:29,880 --> 00:28:32,600 Speaker 1: sort of say, no, no, no, this part we're not 574 00:28:32,640 --> 00:28:33,120 Speaker 1: going to show. 575 00:28:33,720 --> 00:28:36,159 Speaker 3: Yeah, And as you said, I think it should be 576 00:28:36,160 --> 00:28:39,160 Speaker 3: made clear that the family wants this story told. 577 00:28:39,160 --> 00:28:40,440 Speaker 2: The family is out there. 578 00:28:40,480 --> 00:28:45,480 Speaker 3: They her surviving family members are adamant about this story 579 00:28:45,520 --> 00:28:47,920 Speaker 3: being told. And I don't know, part of me feels 580 00:28:47,920 --> 00:28:51,000 Speaker 3: like it's a way like honoring their wishes is important, 581 00:28:51,000 --> 00:28:53,040 Speaker 3: honoring that legacy is important. 582 00:28:53,240 --> 00:28:55,880 Speaker 1: Yeah, I think it would be very different if they said, oh, absolutely, 583 00:28:56,360 --> 00:28:58,680 Speaker 1: you know, please don't. I think that would lead to 584 00:28:58,880 --> 00:29:03,240 Speaker 1: very challenging conversations. Frankly right, I think you'd have people 585 00:29:03,280 --> 00:29:05,680 Speaker 1: who said, listen, we should honor the family. Other people say, hey, 586 00:29:05,680 --> 00:29:07,360 Speaker 1: this is a story about a killing and try to 587 00:29:07,360 --> 00:29:10,240 Speaker 1: figure it out. But no, the family was very much 588 00:29:10,800 --> 00:29:12,720 Speaker 1: I think on board with the idea of like, people 589 00:29:12,800 --> 00:29:14,760 Speaker 1: need to see how horrible this is, they need to 590 00:29:14,800 --> 00:29:17,040 Speaker 1: see the impact. There's also an im kept Pact campaign's 591 00:29:17,040 --> 00:29:18,520 Speaker 1: called standing in the Gap. I don't know if you've 592 00:29:18,600 --> 00:29:21,600 Speaker 1: learned about that. And you know, because again, something people 593 00:29:21,640 --> 00:29:24,840 Speaker 1: don't realize once the press goes, once the pastors go, 594 00:29:25,160 --> 00:29:28,680 Speaker 1: once the lawyers go, you have families that are hurting 595 00:29:29,120 --> 00:29:33,240 Speaker 1: that actually need support, right, they're just left. And so 596 00:29:33,520 --> 00:29:38,480 Speaker 1: I think like being very clear and true and accurate 597 00:29:38,520 --> 00:29:39,480 Speaker 1: about that is very. 598 00:29:39,320 --> 00:29:44,720 Speaker 3: Important and keeping the conversation going, you know, once the 599 00:29:44,800 --> 00:29:48,160 Speaker 3: film is no longer, you know the thing everyone is 600 00:29:48,160 --> 00:29:51,520 Speaker 3: talking about, making sure that that conversation can continue and 601 00:29:51,560 --> 00:29:55,040 Speaker 3: that we continue to educate folks on what these laws 602 00:29:55,040 --> 00:29:57,440 Speaker 3: actually look like and the way that they actually impact people. 603 00:29:57,520 --> 00:29:59,440 Speaker 4: Right, and who they impact the most. 604 00:29:59,640 --> 00:30:02,320 Speaker 3: You know, you used to be this journalist who was 605 00:30:02,400 --> 00:30:05,880 Speaker 3: really known for anchoring mainstream news outlets like see It En, 606 00:30:06,160 --> 00:30:09,800 Speaker 3: but more recently, you're making these important documentaries through your 607 00:30:09,840 --> 00:30:13,000 Speaker 3: production company and the production companies of others like Gidas. 608 00:30:13,440 --> 00:30:16,160 Speaker 3: Do you feel like you have more freedom to tell 609 00:30:16,200 --> 00:30:18,760 Speaker 3: stories in a different way, the way that you maybe 610 00:30:19,000 --> 00:30:23,600 Speaker 3: you know, couldn't if you were still anchoring mainstream news outlets. 611 00:30:24,040 --> 00:30:27,160 Speaker 1: I think the real difference is that you just get 612 00:30:27,160 --> 00:30:29,800 Speaker 1: a lot of time. So if you're able to sell 613 00:30:29,840 --> 00:30:31,320 Speaker 1: a dock, and you get a buyer, and you have 614 00:30:31,360 --> 00:30:33,080 Speaker 1: a good story, and you you know, you're sort of 615 00:30:33,080 --> 00:30:36,480 Speaker 1: able to go ahead and produce the doc you know, 616 00:30:36,560 --> 00:30:39,160 Speaker 1: you get to really kind of wrap a lot of 617 00:30:39,240 --> 00:30:42,160 Speaker 1: time around a story. Whereas in daily news, as you know, 618 00:30:42,920 --> 00:30:47,120 Speaker 1: you know, you're just NonStop talking, talking, talking, docking. You 619 00:30:47,200 --> 00:30:48,560 Speaker 1: might have a little bit of time to kind of 620 00:30:48,560 --> 00:30:51,680 Speaker 1: give some context, but often you don't, especially in live 621 00:30:51,760 --> 00:30:54,400 Speaker 1: cable news. And so I what I've liked, I mean, 622 00:30:54,400 --> 00:30:56,520 Speaker 1: I love doing cable news, but I really have liked 623 00:30:56,640 --> 00:30:59,240 Speaker 1: the time. You know, you're not giving people a ten 624 00:30:59,280 --> 00:31:01,840 Speaker 1: second sound by and saying, you know, here, let me 625 00:31:01,840 --> 00:31:05,200 Speaker 1: explain the story to you. Here's their SoundBite. They're they're 626 00:31:05,320 --> 00:31:07,840 Speaker 1: giving it right. We get to tell the entire story 627 00:31:07,880 --> 00:31:10,000 Speaker 1: over a fairly long period of time, So you really 628 00:31:10,080 --> 00:31:14,280 Speaker 1: understand the context. And I think in cases where as 629 00:31:14,560 --> 00:31:18,240 Speaker 1: people don't trust journalists as much, you know, day after 630 00:31:18,280 --> 00:31:20,480 Speaker 1: day when we were looking at a Pew research study 631 00:31:20,480 --> 00:31:23,040 Speaker 1: that I said, something like forty four percent of Americans 632 00:31:23,080 --> 00:31:27,400 Speaker 1: say they don't trust journal terrible number. I like the 633 00:31:27,520 --> 00:31:30,760 Speaker 1: idea of being out of it, just, you know, like 634 00:31:30,960 --> 00:31:33,800 Speaker 1: we're not in it. There's no I'm not in the 635 00:31:33,800 --> 00:31:36,160 Speaker 1: middle of it saying here's my perspective on this story, 636 00:31:36,200 --> 00:31:38,280 Speaker 1: and I met with these people, right, It's just this 637 00:31:38,360 --> 00:31:40,800 Speaker 1: is how it went down with the police who were 638 00:31:40,800 --> 00:31:43,560 Speaker 1: called to the scene. And so I think that's actually 639 00:31:43,640 --> 00:31:46,160 Speaker 1: really part of the reason the film is doing so 640 00:31:46,240 --> 00:31:49,000 Speaker 1: well is that people believe it, you know, they just 641 00:31:49,240 --> 00:31:52,080 Speaker 1: they just don't think there's an agenda. There's no here's 642 00:31:52,120 --> 00:31:54,880 Speaker 1: how I feel about it. Here's how Geeta feels about it, 643 00:31:54,920 --> 00:31:57,400 Speaker 1: Here's how a Message Pictures feels about it. Right, it's 644 00:31:57,440 --> 00:32:00,040 Speaker 1: this is what happened, and we're going to show it 645 00:32:00,080 --> 00:32:03,479 Speaker 1: to you fully. So I think that's a real plus. 646 00:32:04,520 --> 00:32:06,480 Speaker 3: And it goes back to what you were saying about 647 00:32:06,480 --> 00:32:08,640 Speaker 3: the choice to use a lot of or mostly police 648 00:32:08,680 --> 00:32:11,640 Speaker 3: surveillance footage and ring camera footage and interrogation. 649 00:32:11,200 --> 00:32:15,120 Speaker 2: Footage that the facts speak for themselves, right. 650 00:32:15,160 --> 00:32:19,880 Speaker 3: We see it's not like Guito was there on the 651 00:32:19,920 --> 00:32:22,959 Speaker 3: site with cameras filming a story for a certain perspective. 652 00:32:23,440 --> 00:32:24,840 Speaker 2: It's just what happened. 653 00:32:24,960 --> 00:32:27,680 Speaker 3: And there's not really no one can say like, ah, 654 00:32:27,960 --> 00:32:30,400 Speaker 3: this seems like women of color were biased for a 655 00:32:30,440 --> 00:32:36,640 Speaker 3: certain perspective here. It's just what happened, yes, case in point. 656 00:32:36,960 --> 00:32:40,240 Speaker 3: One of Solodad's latest projects is a new short documentary 657 00:32:40,280 --> 00:32:43,440 Speaker 3: called The Devil Is Busy, now streaming on HBO Max. 658 00:32:44,320 --> 00:32:46,640 Speaker 3: The film follows a day in the life of Tracy, 659 00:32:46,960 --> 00:32:50,160 Speaker 3: the head of security at a Georgia abortion clinic, and 660 00:32:50,240 --> 00:32:52,840 Speaker 3: the relentless work that she does to keep the clinic 661 00:32:52,920 --> 00:32:56,680 Speaker 3: operating safely. We watch Tracy begin her day at the 662 00:32:56,680 --> 00:33:01,120 Speaker 3: clinic with a prayer, navigate confrontations with anti abortion protesters 663 00:33:01,240 --> 00:33:04,040 Speaker 3: who are such a constant presence at the clinic that 664 00:33:04,160 --> 00:33:07,800 Speaker 3: Tracy knows them all by name, and support the clinic's clients, 665 00:33:08,120 --> 00:33:10,640 Speaker 3: many of whom have traveled overnight from out of state 666 00:33:10,880 --> 00:33:15,800 Speaker 3: due to increasingly restrictive abortion laws. The documentary offers a powerful, 667 00:33:15,960 --> 00:33:19,520 Speaker 3: ground level, humanizing view. The challenge is based by those 668 00:33:19,560 --> 00:33:25,600 Speaker 3: working to provide reproductive healthcare in our current landscape. 669 00:33:25,760 --> 00:33:27,720 Speaker 1: We kind of had the similar strategy with The Devil 670 00:33:27,800 --> 00:33:30,920 Speaker 1: Is Busy. Gita is one of the directors on that 671 00:33:31,000 --> 00:33:35,480 Speaker 1: doc as well, because she's amazing, So, you know, same thing, right, 672 00:33:35,560 --> 00:33:38,600 Speaker 1: No one's in it directing the traffic, no one's picking 673 00:33:38,640 --> 00:33:40,120 Speaker 1: I'm going to pick this person, and we're going to 674 00:33:40,200 --> 00:33:40,600 Speaker 1: lead with this. 675 00:33:40,800 --> 00:33:41,000 Speaker 2: You know. 676 00:33:41,480 --> 00:33:45,000 Speaker 1: It is the story of woman's day, a woman who's 677 00:33:45,080 --> 00:33:48,760 Speaker 1: kind of complicated and contradictory and an interesting character that 678 00:33:48,800 --> 00:33:51,080 Speaker 1: you don't see a lot, right, A deeply religious woman 679 00:33:51,520 --> 00:33:55,240 Speaker 1: who's the security guard at an abortion clinic. Usually the 680 00:33:55,280 --> 00:33:57,920 Speaker 1: deeply religious people are the people who are the protesters 681 00:33:58,040 --> 00:34:00,600 Speaker 1: out kind of on the street making old n and 682 00:34:00,680 --> 00:34:03,880 Speaker 1: so we really like that. We just, you know, we're 683 00:34:03,960 --> 00:34:08,000 Speaker 1: looking at this story through through her eyes, Tracy's Tracy's 684 00:34:08,080 --> 00:34:10,319 Speaker 1: journey is what tells us what happens. I'm not in 685 00:34:10,400 --> 00:34:13,239 Speaker 1: you know, I'm not interviewing anybody. The director of that, 686 00:34:13,320 --> 00:34:16,040 Speaker 1: along with GETA, is Crystaline Hampton, who we do tons 687 00:34:16,040 --> 00:34:18,600 Speaker 1: of projects with. And again, I guess what I would 688 00:34:18,640 --> 00:34:20,839 Speaker 1: also point out was a complete sidebar, but it will 689 00:34:20,880 --> 00:34:24,480 Speaker 1: be interesting to you. So often in TV news and 690 00:34:24,640 --> 00:34:28,399 Speaker 1: journalism and even film, of any kind. There's this idea 691 00:34:28,400 --> 00:34:30,280 Speaker 1: of like, if we could only just find the black people, 692 00:34:30,280 --> 00:34:33,040 Speaker 1: if we could just find the people of color, you know, 693 00:34:33,040 --> 00:34:34,839 Speaker 1: And I just want to say, as I'm naming them, 694 00:34:34,880 --> 00:34:38,440 Speaker 1: I'm like a woman of color, black director, you know, 695 00:34:39,239 --> 00:34:42,879 Speaker 1: Sam Paullard, black executive. Like there's it's just when you're 696 00:34:42,960 --> 00:34:46,320 Speaker 1: really intentional, it's not that hard. So that's a complete 697 00:34:46,320 --> 00:34:48,680 Speaker 1: sidebar to what we're talking about. But for me, every 698 00:34:48,719 --> 00:34:53,680 Speaker 1: project we've done, we've been so intentional about finding and 699 00:34:53,760 --> 00:34:57,640 Speaker 1: centering directors. And Geeta is just a really she's a 700 00:34:57,719 --> 00:35:00,480 Speaker 1: kind of an amazing mentor because what she does is 701 00:35:00,520 --> 00:35:03,000 Speaker 1: she takes people and she sort of grows them, and 702 00:35:03,040 --> 00:35:04,880 Speaker 1: then she'll say, Okay, now you're ready to be the 703 00:35:04,920 --> 00:35:07,160 Speaker 1: director on this or you're ready, so we're starting another 704 00:35:07,200 --> 00:35:10,920 Speaker 1: project with another one of the young women. That's anybody 705 00:35:10,920 --> 00:35:14,200 Speaker 1: who's younger than me, young women who you know, will 706 00:35:14,239 --> 00:35:16,520 Speaker 1: be directing this project for us, right. But really was 707 00:35:16,600 --> 00:35:19,080 Speaker 1: kind of grown up, if you will, under Gita and 708 00:35:19,120 --> 00:35:23,000 Speaker 1: I just love people who are so aggressive about not 709 00:35:23,120 --> 00:35:25,080 Speaker 1: just mentoring and saying I'm gonna give you some you 710 00:35:25,200 --> 00:35:27,520 Speaker 1: go girl, going to give you some good words of advice, 711 00:35:27,520 --> 00:35:30,080 Speaker 1: but like, now we slot you here. Now you need 712 00:35:30,160 --> 00:35:33,040 Speaker 1: experience doing this. Now you actually need this. Now you're 713 00:35:33,040 --> 00:35:35,560 Speaker 1: going to do this. And she's very intentional about it, 714 00:35:35,560 --> 00:35:38,400 Speaker 1: and I've always really appreciated that because a lot of 715 00:35:38,400 --> 00:35:40,879 Speaker 1: people talk about it, but very few people actually do it. 716 00:35:41,160 --> 00:35:44,080 Speaker 2: As you know, how did you Ben Ghita start working together? 717 00:35:45,520 --> 00:35:47,839 Speaker 4: That's such a good question. It's been such a long time. 718 00:35:48,000 --> 00:35:49,319 Speaker 4: I'm sure I'm gonna get our. 719 00:35:49,239 --> 00:35:53,400 Speaker 1: Like origin story wrong. I don't remember the real story. 720 00:35:53,400 --> 00:35:55,320 Speaker 1: But we were working on a couple of other projects 721 00:35:55,360 --> 00:35:58,279 Speaker 1: before this one. And you know, she just has an 722 00:35:58,280 --> 00:36:02,400 Speaker 1: amazing track record. You know, google her CV and you'll 723 00:36:02,440 --> 00:36:04,919 Speaker 1: be blown away. I think this year she's got three 724 00:36:05,000 --> 00:36:07,600 Speaker 1: projects that are all up for rewards. I mean, she's remarkable. 725 00:36:08,480 --> 00:36:10,120 Speaker 1: But again, I think she can do that because she 726 00:36:10,200 --> 00:36:12,160 Speaker 1: has a lot of support and a lot of people 727 00:36:12,239 --> 00:36:14,319 Speaker 1: who are working on these projects with her, who she 728 00:36:14,480 --> 00:36:17,520 Speaker 1: trusts implicitly. But we started working on a project actually 729 00:36:17,520 --> 00:36:20,279 Speaker 1: about young people who are hungry in college. We had 730 00:36:20,280 --> 00:36:25,320 Speaker 1: met this woman, a friend who ran the journalism department 731 00:36:25,440 --> 00:36:28,719 Speaker 1: at a school, and she said, you know, some of 732 00:36:28,719 --> 00:36:32,000 Speaker 1: the students are sleeping in the journalism office and she 733 00:36:32,040 --> 00:36:34,000 Speaker 1: thought they were just kind of like crashing there on 734 00:36:34,040 --> 00:36:36,759 Speaker 1: a late night, but they actually had no housing that 735 00:36:36,840 --> 00:36:39,560 Speaker 1: they were hungry. And another woman did a study. She's 736 00:36:39,600 --> 00:36:43,960 Speaker 1: the kind of the center of our doc, Sarah Goldgrop, 737 00:36:44,360 --> 00:36:48,000 Speaker 1: and she was saying that, you know, originally when she 738 00:36:48,040 --> 00:36:49,680 Speaker 1: did her study, she thought it was kind of like 739 00:36:49,719 --> 00:36:51,839 Speaker 1: the sad story of a handful of students who are 740 00:36:51,920 --> 00:36:56,600 Speaker 1: just in a fifty percent five zero percent of students 741 00:36:56,600 --> 00:37:00,399 Speaker 1: have had food and security in college, Like that's insane. 742 00:37:00,800 --> 00:37:03,040 Speaker 1: And so we decided to do that project. And I 743 00:37:03,080 --> 00:37:05,600 Speaker 1: think you to strategy and telling that story was it 744 00:37:05,680 --> 00:37:08,799 Speaker 1: just it just made for a beautiful, beautiful doc. So 745 00:37:09,520 --> 00:37:11,640 Speaker 1: you know, every single thing that we have done together 746 00:37:12,080 --> 00:37:13,200 Speaker 1: has just been a home run. 747 00:37:13,560 --> 00:37:15,440 Speaker 3: I don't know, thinking about some of the projects that 748 00:37:15,480 --> 00:37:17,400 Speaker 3: I know that you all have worked on together, I've 749 00:37:17,560 --> 00:37:21,319 Speaker 3: obviously seen the perfect neighbor. I've seen the devil is busy. 750 00:37:21,400 --> 00:37:24,040 Speaker 3: It strikes me as the kind of topics that are 751 00:37:24,080 --> 00:37:29,280 Speaker 3: so important that definitely impact traditionally marginalized people, so subsequently 752 00:37:29,280 --> 00:37:31,759 Speaker 3: they're not told, you know, the way that they maybe 753 00:37:31,760 --> 00:37:32,200 Speaker 3: should be. 754 00:37:32,440 --> 00:37:35,080 Speaker 4: We don't run into a lot of people. Yeah, I 755 00:37:35,120 --> 00:37:36,160 Speaker 4: used to say that all the time. 756 00:37:36,280 --> 00:37:38,080 Speaker 1: Someone would say to me, you know when we started 757 00:37:38,080 --> 00:37:40,640 Speaker 1: doing our Black and America documentaries for CNN, we didn't 758 00:37:40,680 --> 00:37:43,439 Speaker 1: for about nine, nine or ten years, and I would 759 00:37:43,480 --> 00:37:44,640 Speaker 1: just say, you know what I liked about it was 760 00:37:44,680 --> 00:37:47,799 Speaker 1: you just didn't run into people. You know that John 761 00:37:47,840 --> 00:37:50,480 Speaker 1: Banay Ramsay, it was me and ninety nine other reporters, 762 00:37:50,600 --> 00:37:53,800 Speaker 1: you know, doing the ten year anniversary of the murder 763 00:37:53,840 --> 00:37:57,120 Speaker 1: of this four little girl. But when it comes to 764 00:37:57,160 --> 00:38:00,759 Speaker 1: these complicated social issues, you know, you're just out there 765 00:38:00,800 --> 00:38:03,839 Speaker 1: alone reporting them, which is unfortunate because I think they're 766 00:38:03,880 --> 00:38:04,719 Speaker 1: really important. 767 00:38:08,160 --> 00:38:20,759 Speaker 3: More after a quick break, let's get right back into it. 768 00:38:22,680 --> 00:38:27,040 Speaker 3: Solodad makes documentaries about important issues like stand your Ground 769 00:38:27,040 --> 00:38:30,920 Speaker 3: and reproductive justice, topics that many people are probably used 770 00:38:30,920 --> 00:38:34,319 Speaker 3: to seeing addressed in quick segments on the news, but 771 00:38:34,480 --> 00:38:38,440 Speaker 3: documentary filmmaking allows for a deeper exploration, not just of 772 00:38:38,480 --> 00:38:41,400 Speaker 3: the issues themselves, but the real people at their center. 773 00:38:42,440 --> 00:38:44,759 Speaker 3: Do you think there are stories that lend themselves very 774 00:38:44,800 --> 00:38:48,560 Speaker 3: well to documentary, like actually telling someone's story and then 775 00:38:48,560 --> 00:38:50,720 Speaker 3: you see them and you hear them in their own words. 776 00:38:51,200 --> 00:38:53,280 Speaker 1: Yeah, I mean I do, But I almost could argue 777 00:38:53,280 --> 00:38:56,560 Speaker 1: that for every story, right, if you have a good character, right. 778 00:38:56,600 --> 00:38:58,279 Speaker 1: The thing I hate the word character because it makes 779 00:38:58,280 --> 00:39:00,439 Speaker 1: it seem very fake. But if you have a good 780 00:39:00,600 --> 00:39:04,400 Speaker 1: central person that you're following right, that you have access 781 00:39:04,440 --> 00:39:06,840 Speaker 1: to that story, and you have a really compelling person, 782 00:39:07,560 --> 00:39:09,719 Speaker 1: then you've got a great doc or even a great 783 00:39:09,760 --> 00:39:11,960 Speaker 1: short story. I mean, I just think you just need 784 00:39:12,280 --> 00:39:15,960 Speaker 1: you need those elements to be pretty amazing, and then yeah, 785 00:39:15,960 --> 00:39:18,480 Speaker 1: I think people can speak for themselves. It's why I 786 00:39:18,520 --> 00:39:21,480 Speaker 1: love documentaries. But I like a lot of forms. I 787 00:39:21,560 --> 00:39:25,279 Speaker 1: like podcasts a lot, love I love sixty minutes, I 788 00:39:25,360 --> 00:39:28,239 Speaker 1: love you know, I just like I like news. I 789 00:39:28,280 --> 00:39:31,560 Speaker 1: sometimes I feel a little unfulfilled because I think, you know, 790 00:39:31,600 --> 00:39:35,040 Speaker 1: giving people a minute twenty on a story that really 791 00:39:35,120 --> 00:39:38,320 Speaker 1: needs a lot more context is sometimes frustrating. But I 792 00:39:38,960 --> 00:39:40,400 Speaker 1: like all sorts of platforms. 793 00:39:41,400 --> 00:39:46,359 Speaker 3: Side note, I love your iHeart podcast about JFK. Yeah, 794 00:39:46,480 --> 00:39:49,040 Speaker 3: solo Dad likes podcasts so much that she also makes 795 00:39:49,080 --> 00:39:52,160 Speaker 3: those two. She did a ten part series exploring Who 796 00:39:52,239 --> 00:39:56,759 Speaker 3: Killed JFK? With Rob Reiner. Yes that Rob Reiner, who 797 00:39:56,800 --> 00:39:58,880 Speaker 3: first came to prominence as the son in law on 798 00:39:58,920 --> 00:40:01,880 Speaker 3: the seventies CBS to Come All in the Family and 799 00:40:01,960 --> 00:40:04,920 Speaker 3: went on to make truly iconic films like This Is 800 00:40:04,920 --> 00:40:08,200 Speaker 3: Spinal Tap, Stand by Me, The Princess Bride, when Harry 801 00:40:08,280 --> 00:40:11,200 Speaker 3: met Sally, and my personal favorite, The First Wives Club, 802 00:40:11,520 --> 00:40:14,040 Speaker 3: and pretty much every other movie that you probably liked 803 00:40:14,080 --> 00:40:15,200 Speaker 3: in the eighties and nineties. 804 00:40:15,960 --> 00:40:18,279 Speaker 4: It was really it wasn't that a great podcast? 805 00:40:18,480 --> 00:40:19,000 Speaker 2: Oh my god? It? 806 00:40:19,000 --> 00:40:22,680 Speaker 4: Plus I love Rob Reiner was amazing, you too, should like. 807 00:40:22,800 --> 00:40:24,960 Speaker 1: I don't know you you make the show on the road, right, 808 00:40:25,080 --> 00:40:26,640 Speaker 1: That's what I gotta I gotta call him and tell 809 00:40:26,680 --> 00:40:29,080 Speaker 1: him that. Two Petty's got this other gig that the 810 00:40:29,120 --> 00:40:31,799 Speaker 1: movie director thing he does. I guess he's working on 811 00:40:31,840 --> 00:40:34,120 Speaker 1: Spinal Tap two, which will be oh yeah, of course, 812 00:40:34,120 --> 00:40:37,440 Speaker 1: because Spinal Tap one was amazing. But yeah, that was 813 00:40:37,480 --> 00:40:39,360 Speaker 1: a great project. But I have to tell you something. 814 00:40:39,880 --> 00:40:43,799 Speaker 1: He was awesome, Like he just is the kindest night. 815 00:40:43,880 --> 00:40:47,319 Speaker 1: He was just so complimentary, wonderful to work with, the 816 00:40:47,440 --> 00:40:50,480 Speaker 1: nicest human being to everybody. As you know, sometimes people 817 00:40:50,520 --> 00:40:53,000 Speaker 1: come in and you know, if they're a big mucky muck, 818 00:40:53,040 --> 00:40:56,120 Speaker 1: they might not be the nicest to you know, somebody 819 00:40:56,120 --> 00:41:00,319 Speaker 1: who's you know, who's who's recording them, or if things 820 00:41:00,320 --> 00:41:02,000 Speaker 1: going wrong and we can't figure it out, you know, 821 00:41:02,000 --> 00:41:04,400 Speaker 1: and it's taking a little time. He just you could 822 00:41:04,440 --> 00:41:08,759 Speaker 1: not ask for a cooler, nicer, more wonderful human being 823 00:41:08,880 --> 00:41:11,160 Speaker 1: than Rob Ryder. It was such a pleasure to work 824 00:41:11,200 --> 00:41:13,759 Speaker 1: with him. I literally enjoyed every moment of it. 825 00:41:14,280 --> 00:41:15,600 Speaker 2: That makes me so happy to hear. 826 00:41:16,000 --> 00:41:22,239 Speaker 3: You know, they say, don't meet your heroes, but I'm happy. 827 00:41:18,719 --> 00:41:21,360 Speaker 2: So very nice people. 828 00:41:21,400 --> 00:41:23,080 Speaker 1: I've got some other names for you that I'll tell 829 00:41:23,080 --> 00:41:25,600 Speaker 1: you not to meet. But Rob Reiner is amazing. He 830 00:41:25,640 --> 00:41:27,400 Speaker 1: was amazing, And I just I don't know, I just 831 00:41:27,480 --> 00:41:31,000 Speaker 1: love watching people who are kind to the person who's 832 00:41:31,000 --> 00:41:36,040 Speaker 1: taking in his audio, who's amazing, to the ap who's great, 833 00:41:36,160 --> 00:41:38,520 Speaker 1: to the PA who's like, anybody need water. I just 834 00:41:38,600 --> 00:41:41,359 Speaker 1: love that, you know, because often people, as you know, 835 00:41:41,480 --> 00:41:43,640 Speaker 1: in this business, are really not. And so it was 836 00:41:43,680 --> 00:41:45,319 Speaker 1: amazing and I did. I loved him, and he was 837 00:41:45,320 --> 00:41:47,760 Speaker 1: my hero, my dad. He was my dad's favorite character. 838 00:41:47,800 --> 00:41:49,680 Speaker 1: Of course, you know, we watched all in the family. 839 00:41:50,120 --> 00:41:53,680 Speaker 1: So like you talked about, you know, your mom, if 840 00:41:53,719 --> 00:41:56,520 Speaker 1: your mom was still alive, she'd be impressed by our 841 00:41:56,520 --> 00:41:58,880 Speaker 1: interview my dad. My dad would be done if he 842 00:41:58,920 --> 00:42:00,799 Speaker 1: were still alive and he that I was doing a 843 00:42:00,800 --> 00:42:02,359 Speaker 1: project with Robert, like that would be it. 844 00:42:02,440 --> 00:42:07,000 Speaker 4: He'd be like, now now I can die because he's yeah, 845 00:42:07,040 --> 00:42:07,759 Speaker 4: she's made it. 846 00:42:08,200 --> 00:42:10,120 Speaker 2: My baby went to Harvard, she's been on TV. 847 00:42:10,280 --> 00:42:13,160 Speaker 4: But now this is exactly that doesn't care. Doesn't care, 848 00:42:13,160 --> 00:42:13,759 Speaker 4: It doesn't care. 849 00:42:14,400 --> 00:42:18,440 Speaker 3: Now, Yeah, oh, you know, I I one of the 850 00:42:18,800 --> 00:42:21,600 Speaker 3: kind of to wrap up here. I was reading your 851 00:42:21,840 --> 00:42:26,799 Speaker 3: your comments to Variety about just the state of journalism 852 00:42:26,880 --> 00:42:29,000 Speaker 3: and media, and one of the things that we focus 853 00:42:29,040 --> 00:42:31,279 Speaker 3: on here at the podcast is especially things like mis 854 00:42:31,320 --> 00:42:34,960 Speaker 3: and disinformation. And I feel like I don't know part 855 00:42:35,000 --> 00:42:36,960 Speaker 3: of me. I jokingly I've said, I feel like we 856 00:42:36,960 --> 00:42:38,880 Speaker 3: have lost the fight. You know, we gave it a 857 00:42:38,880 --> 00:42:39,920 Speaker 3: good shot. 858 00:42:40,600 --> 00:42:42,799 Speaker 1: Sometimes people ask me like, so what do you do, 859 00:42:42,840 --> 00:42:46,040 Speaker 1: and I'm like, I honestly don't know. I don't I 860 00:42:46,120 --> 00:42:47,800 Speaker 1: look at I mean what. I used to spend a 861 00:42:47,840 --> 00:42:49,560 Speaker 1: lot of time on Twitter, but I find it really 862 00:42:49,800 --> 00:42:53,120 Speaker 1: scary to forward videos and things because I just don't 863 00:42:53,320 --> 00:42:58,239 Speaker 1: can't verify if their true AI is so good, it 864 00:42:58,239 --> 00:42:59,320 Speaker 1: could be so deceptive. 865 00:42:59,360 --> 00:43:01,080 Speaker 4: Frankly, that's just I don't. 866 00:43:01,120 --> 00:43:01,279 Speaker 2: You know. 867 00:43:01,360 --> 00:43:03,239 Speaker 1: There's so many things that I just don't know, and 868 00:43:03,280 --> 00:43:05,839 Speaker 1: there's so much information coming across the trans so it's 869 00:43:05,880 --> 00:43:08,960 Speaker 1: really hard to follow. So I try not to weigh 870 00:43:09,000 --> 00:43:11,879 Speaker 1: in on things that I haven't specifically covered and spent 871 00:43:12,000 --> 00:43:14,520 Speaker 1: time on because I don't want to be that person 872 00:43:14,520 --> 00:43:17,520 Speaker 1: who passes along things that are inappropriate and you know, 873 00:43:17,640 --> 00:43:21,239 Speaker 1: and just untrue. But it is a crazy time, and 874 00:43:21,480 --> 00:43:24,600 Speaker 1: it is I don't see I don't see a near 875 00:43:24,640 --> 00:43:25,920 Speaker 1: future where it improves. 876 00:43:27,440 --> 00:43:29,239 Speaker 3: I mean, I was going to ask if, when you 877 00:43:29,280 --> 00:43:31,400 Speaker 3: think about the future of journalism and media, are you 878 00:43:31,520 --> 00:43:33,680 Speaker 3: hopeful about where we might be going. 879 00:43:33,719 --> 00:43:35,560 Speaker 2: It sounds like maybe not so much. 880 00:43:35,600 --> 00:43:35,680 Speaker 3: No. 881 00:43:36,000 --> 00:43:38,719 Speaker 1: I mean that I think disinformation and misinformation is a 882 00:43:38,719 --> 00:43:42,040 Speaker 1: different category and journalism generally, which is also struggling at 883 00:43:42,040 --> 00:43:44,160 Speaker 1: this moment, as you well know. But yeah, I think 884 00:43:44,239 --> 00:43:46,640 Speaker 1: that the history of journalism has been like this, right 885 00:43:46,680 --> 00:43:50,680 Speaker 1: We've had really highs and lows, and so I think 886 00:43:50,719 --> 00:43:52,680 Speaker 1: there's lots of I think they're great journalists out there 887 00:43:52,680 --> 00:43:54,239 Speaker 1: who are doing really good work. I think it's a 888 00:43:54,400 --> 00:43:57,960 Speaker 1: very challenging time for a host of reasons, and with 889 00:43:58,040 --> 00:44:00,600 Speaker 1: a host of people there trying to interview and people 890 00:44:00,600 --> 00:44:02,560 Speaker 1: they're working for and people they're trying to put on TV. 891 00:44:03,560 --> 00:44:06,319 Speaker 1: So I think it's a bad time for journalists. But 892 00:44:06,520 --> 00:44:09,120 Speaker 1: I do think there there's always these ups and downs, 893 00:44:09,320 --> 00:44:11,719 Speaker 1: you know, where people love journalism right now, people love 894 00:44:11,760 --> 00:44:14,200 Speaker 1: their local news. They trust their local news, you know, 895 00:44:14,239 --> 00:44:17,040 Speaker 1: and yet local news is you know, there's local news. 896 00:44:17,160 --> 00:44:21,719 Speaker 1: Stations and papers are dropping every day, every day they disappear. 897 00:44:22,239 --> 00:44:25,640 Speaker 1: So we have to solve a bunch of problems, including monetization, 898 00:44:26,320 --> 00:44:29,000 Speaker 1: before we can say, like, yes, journalism is going to 899 00:44:29,040 --> 00:44:33,320 Speaker 1: be saved, because frankly, a lot of the garbage is 900 00:44:33,600 --> 00:44:38,719 Speaker 1: is very you know, worth it due to you know, 901 00:44:38,760 --> 00:44:41,160 Speaker 1: it's just not expensive. It's cheap, and to do good 902 00:44:41,160 --> 00:44:44,839 Speaker 1: reporting is expensive. And so you know, I understand why 903 00:44:44,880 --> 00:44:47,880 Speaker 1: people pick the cheap talking heads yelling at each other version. 904 00:44:48,880 --> 00:44:52,000 Speaker 1: It's easier and it's cheaper, and I think. 905 00:44:51,920 --> 00:44:54,440 Speaker 3: It speaks to the model that you were just talking 906 00:44:54,440 --> 00:44:58,000 Speaker 3: about with documentary, where you can spend a long time 907 00:44:58,000 --> 00:45:00,480 Speaker 3: telling a story. You can tell a story over an 908 00:45:00,520 --> 00:45:02,200 Speaker 3: hour and change or two hours. 909 00:45:01,960 --> 00:45:04,160 Speaker 2: And people are gonna rock with you. You can you can. 910 00:45:04,320 --> 00:45:07,719 Speaker 3: I mean, I love documentary. Get a weekend spent and 911 00:45:07,760 --> 00:45:09,440 Speaker 3: watching documentaries is a good weekend for me. 912 00:45:09,520 --> 00:45:11,520 Speaker 2: But I know not everybody feels that way. 913 00:45:11,719 --> 00:45:14,800 Speaker 3: But the fact that you told a story about stand 914 00:45:14,840 --> 00:45:17,960 Speaker 3: your ground laws and it was the everybody was talking 915 00:45:17,960 --> 00:45:18,279 Speaker 3: about it. 916 00:45:18,200 --> 00:45:20,240 Speaker 2: It was the thing that people were talking about. 917 00:45:20,400 --> 00:45:22,760 Speaker 3: I don't necessarily see news stories on the news where 918 00:45:22,880 --> 00:45:24,160 Speaker 3: people are moved in that way. 919 00:45:24,280 --> 00:45:26,400 Speaker 2: So I do. I do think it's it's. 920 00:45:26,120 --> 00:45:27,200 Speaker 4: The last time I saw that. 921 00:45:27,239 --> 00:45:29,400 Speaker 1: I would say Katrina, right, like, if you could think 922 00:45:29,440 --> 00:45:31,759 Speaker 1: of a time where everybody was talking about a thing, 923 00:45:31,880 --> 00:45:33,840 Speaker 1: was Hurricane Katrina. And it was a time. I was 924 00:45:33,840 --> 00:45:36,880 Speaker 1: telling someone yesterday that we were coming back. When I 925 00:45:36,920 --> 00:45:39,680 Speaker 1: was covering Katrina, we'd spend a month in New Orleans 926 00:45:39,680 --> 00:45:42,040 Speaker 1: and the month out, you know, back and forth, my 927 00:45:42,080 --> 00:45:44,440 Speaker 1: co anker would go in and back and forth. And 928 00:45:44,840 --> 00:45:49,280 Speaker 1: I remember we were coming through the Baton Rouge Airport. 929 00:45:49,360 --> 00:45:53,080 Speaker 1: So I'm leaving at the end of my month, and 930 00:45:53,080 --> 00:45:55,480 Speaker 1: and we haven't showered because of course there was no showers, 931 00:45:55,800 --> 00:45:57,920 Speaker 1: and it's we're all really dirty. Although my hair does 932 00:45:57,960 --> 00:45:59,719 Speaker 1: get better the dirty or it is, so I was 933 00:45:59,719 --> 00:46:03,799 Speaker 1: actually fine on that front, but we're just gross. And 934 00:46:03,840 --> 00:46:05,759 Speaker 1: I remember I had my CNN cap on because of 935 00:46:05,800 --> 00:46:08,640 Speaker 1: course everything was gross. And we got a standing ovation. 936 00:46:09,239 --> 00:46:11,920 Speaker 1: We got a standing ovation in the Baton Rouge Deep 937 00:46:12,000 --> 00:46:16,000 Speaker 1: South Airport CNN. And I just remember thinking, like, that's 938 00:46:16,040 --> 00:46:19,239 Speaker 1: because we are doing the thing that we're supposed to do, right, 939 00:46:19,280 --> 00:46:20,520 Speaker 1: We're getting a standing ovation. 940 00:46:21,560 --> 00:46:22,880 Speaker 4: Not for me. Or any of the people we're. 941 00:46:22,719 --> 00:46:24,480 Speaker 1: Getting a stand in FASI because they feel like, yes, 942 00:46:24,600 --> 00:46:26,600 Speaker 1: that was what we needed you to do. Yes, that 943 00:46:27,080 --> 00:46:29,239 Speaker 1: And I think the same thing with perfect neighbor, right, 944 00:46:29,280 --> 00:46:32,120 Speaker 1: it's like, yes, thank you, thank you for helping us 945 00:46:32,160 --> 00:46:33,160 Speaker 1: understand this story. 946 00:46:33,200 --> 00:46:33,520 Speaker 2: Thank you. 947 00:46:34,120 --> 00:46:38,400 Speaker 3: I hate the way that journalists are demonized today, but 948 00:46:38,600 --> 00:46:41,400 Speaker 3: that I think that story People do actually want to 949 00:46:41,400 --> 00:46:44,920 Speaker 3: have their story told authentically and thoughtfully and truthfully. 950 00:46:45,080 --> 00:46:47,600 Speaker 2: People do want to hear these stories. I don't know. 951 00:46:47,640 --> 00:46:49,360 Speaker 2: I think it's it's very easy. 952 00:46:49,120 --> 00:46:51,839 Speaker 3: For me personally to get caught up in I'm so 953 00:46:52,000 --> 00:46:54,279 Speaker 3: angry about the way that people trash journalists, and I 954 00:46:54,960 --> 00:46:58,560 Speaker 3: feel that way, but not buying into it that everybody 955 00:46:58,600 --> 00:47:00,960 Speaker 3: feels that way, because people do there is trust when 956 00:47:01,000 --> 00:47:03,840 Speaker 3: when stories are told well and authentically, there is trust. 957 00:47:04,080 --> 00:47:06,320 Speaker 1: Listen, when we were doing Black in America for CNN, 958 00:47:06,360 --> 00:47:08,239 Speaker 1: the number of people are like, why would we do this? 959 00:47:08,840 --> 00:47:11,880 Speaker 1: You guys never come here, You never come to our neighborhood, 960 00:47:12,360 --> 00:47:14,000 Speaker 1: you know, And it was a lot of work to 961 00:47:14,000 --> 00:47:15,920 Speaker 1: get people to understand, here's what we're trying to do. 962 00:47:16,080 --> 00:47:17,840 Speaker 1: It's a documentary sticks out, you know. 963 00:47:17,920 --> 00:47:19,080 Speaker 4: But I get it. 964 00:47:19,160 --> 00:47:23,520 Speaker 1: So, I mean some of the lack of trust is earned. Right, 965 00:47:23,640 --> 00:47:25,560 Speaker 1: it's earned. And when people say to me, so, how 966 00:47:25,560 --> 00:47:27,919 Speaker 1: do you get back trust? I always say that it's 967 00:47:28,000 --> 00:47:31,360 Speaker 1: like the bad boyfriend theory. You know, there's no baby, 968 00:47:31,360 --> 00:47:33,840 Speaker 1: you gotta trust me. Rights it is you have to 969 00:47:33,840 --> 00:47:36,000 Speaker 1: be trustworthy, right, you got to show up again and 970 00:47:36,040 --> 00:47:39,160 Speaker 1: again and again and be trustworthy. Like there's no other 971 00:47:39,280 --> 00:47:41,960 Speaker 1: way to get people's trust than to do that. And 972 00:47:42,040 --> 00:47:45,640 Speaker 1: so I really think that that, you know, that's what's 973 00:47:45,640 --> 00:47:47,960 Speaker 1: going to happen. So to some degree, you know, journalism 974 00:47:48,040 --> 00:47:52,200 Speaker 1: has made some big errors and lost some trust. I mean, 975 00:47:52,239 --> 00:47:54,000 Speaker 1: I remember when I worked at Keene cyn End. It 976 00:47:54,040 --> 00:47:55,279 Speaker 1: was just a long time ago that it's probably been 977 00:47:55,280 --> 00:47:57,880 Speaker 1: almost a dozen years. I don't know if you remember this. 978 00:47:58,160 --> 00:48:00,160 Speaker 1: They had this breaking news you know when they they 979 00:48:00,160 --> 00:48:01,759 Speaker 1: had the app and you had the breath and you 980 00:48:01,840 --> 00:48:03,759 Speaker 1: get the app and it was Britney Spears had cut 981 00:48:03,800 --> 00:48:04,120 Speaker 1: her hair. 982 00:48:04,200 --> 00:48:06,560 Speaker 2: Do you know that came in. 983 00:48:06,560 --> 00:48:09,799 Speaker 1: Breaking news, Breaking news app that's Britney Spears had cut 984 00:48:09,800 --> 00:48:12,480 Speaker 1: her hair. You're just like, do you realize how much 985 00:48:12,520 --> 00:48:16,080 Speaker 1: you undermine when you're doing other news about how there 986 00:48:16,160 --> 00:48:20,799 Speaker 1: has been a tsunami or there has been a hurricane, 987 00:48:20,920 --> 00:48:23,720 Speaker 1: or there has been a shoot, right, Like you realize 988 00:48:23,760 --> 00:48:26,799 Speaker 1: when you put Brittany in this thing, God bless her. 989 00:48:26,800 --> 00:48:28,920 Speaker 1: She seems like a lovely person, but it is not 990 00:48:29,040 --> 00:48:31,400 Speaker 1: breaking news that she cut her hair. And so I 991 00:48:31,440 --> 00:48:34,480 Speaker 1: think to some degree, right, we have lots of examples 992 00:48:34,560 --> 00:48:37,560 Speaker 1: of how we have undermined ourselves strengthly. 993 00:48:37,760 --> 00:48:40,160 Speaker 2: And it trains your audience to tune out. 994 00:48:40,280 --> 00:48:41,800 Speaker 3: You know, it's like, oh, I don't need to I 995 00:48:41,840 --> 00:48:43,200 Speaker 3: get a million of these notifications. 996 00:48:43,239 --> 00:48:44,040 Speaker 2: Who cares? You know? 997 00:48:44,280 --> 00:48:45,440 Speaker 4: Exactly exactly. 998 00:48:46,800 --> 00:48:47,719 Speaker 2: One of my last. 999 00:48:47,560 --> 00:48:50,319 Speaker 3: Questions for you is just what does it feel like 1000 00:48:50,480 --> 00:48:54,880 Speaker 3: to see the response to your to the work that 1001 00:48:54,920 --> 00:48:57,000 Speaker 3: you've helped put out into the world. I mean, the 1002 00:48:57,080 --> 00:48:58,560 Speaker 3: response has been huge. 1003 00:48:58,680 --> 00:48:59,319 Speaker 2: What is that like? 1004 00:48:59,840 --> 00:49:02,360 Speaker 4: You know, it's it's really really nice. 1005 00:49:02,800 --> 00:49:03,080 Speaker 2: Uh. 1006 00:49:03,120 --> 00:49:06,040 Speaker 1: But I will say that sometimes you do great projects 1007 00:49:06,080 --> 00:49:09,240 Speaker 1: that nobody really sees. You started talking about the site. 1008 00:49:09,239 --> 00:49:12,640 Speaker 1: The site was a great show. We literally had six viewers. 1009 00:49:12,640 --> 00:49:14,440 Speaker 1: We were in hash marks, which means it didn't have 1010 00:49:14,560 --> 00:49:18,080 Speaker 1: enough viewers to like actually count them. I love doing 1011 00:49:18,080 --> 00:49:20,280 Speaker 1: that show. That was a great show right so ahead 1012 00:49:20,280 --> 00:49:24,080 Speaker 1: of its time, but but no one watched it. And uh, 1013 00:49:24,360 --> 00:49:26,799 Speaker 1: and so you know, I I guess it's always great 1014 00:49:26,840 --> 00:49:29,839 Speaker 1: when the work that you've done and you're you're associated 1015 00:49:29,880 --> 00:49:32,640 Speaker 1: with is seeing because that's awesome. You just want people 1016 00:49:32,680 --> 00:49:34,880 Speaker 1: to see it, especially in documentaries. You want people to 1017 00:49:34,880 --> 00:49:37,680 Speaker 1: see it. So it's it's amazing, it feels great. But 1018 00:49:37,719 --> 00:49:40,240 Speaker 1: also I think there's just a zillion other projects. Of course, 1019 00:49:40,680 --> 00:49:43,400 Speaker 1: since it's award season for Docks, you you end up 1020 00:49:43,480 --> 00:49:45,880 Speaker 1: watching everybody else's doc too. So all I do is 1021 00:49:45,880 --> 00:49:49,920 Speaker 1: watching docs all the time. There's a zillion fantastic projects 1022 00:49:49,920 --> 00:49:52,640 Speaker 1: out there, a zillion, And so I would say people 1023 00:49:52,640 --> 00:49:54,920 Speaker 1: should be more like you and learn to love docs 1024 00:49:56,280 --> 00:49:58,400 Speaker 1: maybe more than watching a lot of you know, talking 1025 00:49:58,400 --> 00:50:00,520 Speaker 1: heads rotating through every half hour are. 1026 00:50:00,640 --> 00:50:02,320 Speaker 3: Oh my gosh, there is no I've said it on 1027 00:50:02,360 --> 00:50:07,120 Speaker 3: the show before. There's no truer, better medium. Things like 1028 00:50:07,520 --> 00:50:10,640 Speaker 3: actual stories that have been told and happened will always 1029 00:50:10,640 --> 00:50:13,960 Speaker 3: be more interesting, more layered, more complex than anything anybody 1030 00:50:13,960 --> 00:50:16,359 Speaker 3: could could come up with. Documentary is where it's at. 1031 00:50:17,040 --> 00:50:20,080 Speaker 4: Yep, yep, I agree. From your mouth to God's ears. 1032 00:50:20,160 --> 00:50:25,040 Speaker 3: Let me say, Soldad O'Brien, I'm like completely peeked out. 1033 00:50:25,040 --> 00:50:28,160 Speaker 2: Thank you so much for being here. It's it's an honor. 1034 00:50:28,200 --> 00:50:31,840 Speaker 2: I have chills. Where can people follow you? What what 1035 00:50:31,840 --> 00:50:34,120 Speaker 2: what you've got? Like, how can people keep in talking? 1036 00:50:34,120 --> 00:50:37,799 Speaker 1: We always have projects we're doing, so we obviously we 1037 00:50:37,920 --> 00:50:41,640 Speaker 1: are on the award circuit now, which means we're doing 1038 00:50:41,680 --> 00:50:43,120 Speaker 1: a lot of screenings, et cetera. 1039 00:50:42,920 --> 00:50:43,319 Speaker 2: Et cetera. 1040 00:50:43,360 --> 00:50:44,880 Speaker 1: It's been really fun to go to some of these 1041 00:50:44,880 --> 00:50:47,960 Speaker 1: awards shows because I'm getting to pull out some old 1042 00:50:48,000 --> 00:50:51,960 Speaker 1: gowns and you know, squeeze in on them. So so 1043 00:50:52,400 --> 00:50:54,879 Speaker 1: if anything that you want to follow around that kind 1044 00:50:54,880 --> 00:50:58,120 Speaker 1: of stuff, I'm on Instagram of course, at Solidad O'Brien. 1045 00:50:58,200 --> 00:51:00,720 Speaker 1: One word, I don't do a lot on X. People 1046 00:51:00,719 --> 00:51:03,640 Speaker 1: sometimes reach out, so every four weeks I go in 1047 00:51:03,680 --> 00:51:06,560 Speaker 1: and respond to a million people who I've ignored. So 1048 00:51:06,640 --> 00:51:08,800 Speaker 1: apologies to anybody who's reaching out to me on X, 1049 00:51:08,920 --> 00:51:10,920 Speaker 1: but it's just it's a little bit. I feel like 1050 00:51:10,960 --> 00:51:15,560 Speaker 1: it's everything you post to posts later becomes something about 1051 00:51:15,560 --> 00:51:16,320 Speaker 1: white supremacy. 1052 00:51:16,440 --> 00:51:17,560 Speaker 4: Yeah, yeah, I had to. 1053 00:51:17,600 --> 00:51:19,440 Speaker 1: I finally like from my own santade I was like, 1054 00:51:19,440 --> 00:51:22,360 Speaker 1: you know what, I cannot do this consistently. So I 1055 00:51:22,400 --> 00:51:25,320 Speaker 1: hop in and out and yet. 1056 00:51:25,520 --> 00:51:28,799 Speaker 4: We follow me on Instagram, you'll see a lot of 1057 00:51:28,800 --> 00:51:29,359 Speaker 4: what we're doing. 1058 00:51:34,040 --> 00:51:36,120 Speaker 3: Got a story about an interesting thing in tech. I 1059 00:51:36,160 --> 00:51:38,000 Speaker 3: just want to say Hi. You can reach us at 1060 00:51:38,040 --> 00:51:40,760 Speaker 3: Hello at tegody dot com. You can also find transcripts 1061 00:51:40,760 --> 00:51:42,560 Speaker 3: for today's episode at tengody dot com. 1062 00:51:42,920 --> 00:51:44,560 Speaker 2: There Are No Girls on the Internet was created by 1063 00:51:44,600 --> 00:51:45,319 Speaker 2: me Bridget Todd. 1064 00:51:45,719 --> 00:51:49,160 Speaker 3: It's a production of iHeartRadio and Unbossed creative Jonathan Strickland 1065 00:51:49,160 --> 00:51:51,920 Speaker 3: as our executive producer. Tari Harrison is our producer and 1066 00:51:51,960 --> 00:51:55,719 Speaker 3: sound engineer. Michael Almato is our contributing producer. I'm your host, 1067 00:51:55,719 --> 00:51:58,520 Speaker 3: Bridget Todd. If you want to help us grow, rate 1068 00:51:58,560 --> 00:52:02,279 Speaker 3: and review us on Apple Podcasts. For more podcasts from iHeartRadio, 1069 00:52:02,400 --> 00:52:04,719 Speaker 3: check out the iHeartRadio app, Apple Podcasts, or wherever you 1070 00:52:04,800 --> 00:52:05,680 Speaker 3: get your podcasts.